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Reflexes Motor


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Sensor Analytics Guide


Introduction


Combining real-time data from Reflexes Motor Sensors with AI-driven machine learning cloud-based analytics, the Reflexes Motor Sensor Cloud platform provides unparalleled insight into assets’ operating conditions and maintenance needs. Thanks to proprietary Reflexes Motor Sensor predictive maintenance analytics, you can identify and remediate faults before they affect motor operation.



  • Reflexes Motor Sensors are equipped with five Analog Devices best-in-class sensors that monitor both motor and environmental conditions.
  • Smart Motor Sensors are non-intrusive, and can be affixed to motors that are currently in use, avoiding downtime.
  • Sensors can analyze data from low-voltage (<1000V) 3-phase induction motors with a motor shaft height of 90 to 400, corresponding to a rated power ranging between 0.37 and 500kW, including almost all IEC and NEMA motors.
  • Smart Motor Sensors provide vibration, temperature, and magnetic field data with high degrees of precision and accuracy.
  • Reflexes Motor Sensor Cloud analytics uses machine learning algorithms to not only predict hardware failures but also provide suggestions for remediation.
  • Hardware issues are rated on a 10 point fault index scale, providing granular insight into motor conditions.
  • Smart Motor Sensors transmit data at regular intervals, ensuring timely delivery of alerts.
  • Sensor data, diagnostics, and prescriptive recommendations are made available via a mobile application, a cloud dashboard, and an API.
  • Sensor data is stored in the Reflexes Motor Sensor Cloud, preventing data loss due to power failure.
  • Smart Motor Sensors are powered by four replaceable Lithium AA batteries.
  • A built-in voltage sensor transmits battery life data to the cloud, issuing alerts as needed.


How it works


Overview


After an Reflexes Motor Sensor (SMS) is attached to a motor, the device begins transmitting data from its on-board sensors to the Reflexes Motor Sensor Cloud. At regular intervals, the SMS device sends a 2.4 second sample of all sensor data (see Figure 1).

During an initial learning period, the Smart Motor Sensor works alongside the Reflexes Motor Sensor Cloud to create a uniquely tailored baseline model of a motor’s operation.

Once the learning period has finished, the Reflexes Motor Sensor Cloud is able to detect motor performance anomalies and generate alerts about impending motor issues.

Figure 1 Figure 1: The Reflexes Motor Sensor Communicating with the Reflexes Motor Sensor Cloud



About the learning period


At regular intervals, the SMS device sends 2.4 second samples of sensor data to the Reflexes Motor Sensor Cloud. A proprietary algorithm extracts the most useful parameters for analytics purposes and generates a baseline model tailored to each motor´s operation (see Figure 2).

Figure 2 Figure 2: The Learning Period



Normal operation mode


Once the learning phase has finished, the Reflexes Motor Sensor Cloud platform compares incoming sensor data to the baseline model to detect impending motor failures (see Figure 3). Status updates regarding ten key motor attributes (see Motor condition monitoring) as well as raw and processed sensor data (see Appendix A) are available via the Reflexes Motor Sensor Cloud dashboard, the Reflexes Motor Sensor mobile application, and the Reflexes Motor Sensor API.

Figure 3 Figure 3: Normal Operation Mode



Motor condition monitoring


Based on incoming sensor data, Reflexes Motor Sensor Cloud analytics provides insight into 9 motor attributes as well as overall motor performance (see Table 1). Motor condition status is rated on a 0-10 scale, wherein ‘10’ indicates normal operation, ‘5’ indicates that monitoring is recommended, and ‘0’ indicates imminent motor failure (see Figure 4, Figure 5, Figure 6, and Figure 7). Motor attribute insights are accessible via the Reflexes Motor Sensor Cloud Dashboard, the Reflexes Motor Sensor mobile application, and Reflexes Motor Sensor API.

Table 1: Motor Attributes Monitored by the Reflexes Motor Sensor Cloud Platform

  Motor Attribute Type Description Example Problem
Power System Power System Electrical Problems in the three phases of the power supply, which could lead to a motor current imbalance. Lost phase
Stator Winding Stator Winding Electrical Problems in one of the phases of the motor, which could cause an imbalance of the motor currents. Coil short circuit
Rotor Rotor Electrical Short-circuit ring or rotor bar related problems. Broken rotor bar
Motor Shaft Motor Shaft / Balance Electromechanical Unequal distribution of mass, causing the center of gravity to shift from the center of rotation. Rotor flexion
Eccentricity Eccentricity Mechanical Asymmetric air gap between the rotor and stator. Bent shaft; improper bearing installation
Bearing Bearing Mechanical Mechanical stress or contamination leading to small cracks or defects that occur in the bearing, creating vibration problems. Pitting
Alignment Alignment Mechanical Occurs when two rotating shafts (motor and load) are not aligned, creating external misalignment. Angular or parallel misalignment
Cooling Cooling System Temperature Problems with fans attached to the shaft or externally attached to the motor. Fan cover collapse
Loose Foot Loose Foot Mechanical Structural looseness occuring when the motor base (or connection to the motor base) is not properly tightened. Motor not fixed to base frame
Performance Performance N/A Used to capture abnormal events such as an overall increase in vibrations, unusual changes in motor RPM, motor load or temperatures, etc. Indicates faults that do not correspond to any of the other nine fault categories, which could be related to machine process. N/A


Figure 4 Figure 4: Stator Winding Fault Index 10 on the Reflexes Motor Sensor Cloud Dashboard

Figure 5 Figure 5: Loose Foot Fault Index 5 on the Reflexes Motor Sensor Cloud Dashboard

Figure 6 Figure 6: Power System Fault Index 2 and Suggested Remediation Action on the Reflexes Motor Sensor Cloud Dashboard

Figure 7 Figure 7: Rotor Fault Index Historical Data on the Reflexes Motor Sensor Cloud Dashboard



Detailed sensor information and specifications


Vibration sensors


Vibrations monitoring and analysis are at the core of most condition based monitoring systems as vibrations and harmonic signatures are often the first indication of an impending motor failure.

Reflexes Motor Sensors are equipped with a Vibration X-axis (tangential vibration) sensor as well as a Vibration Z-axis (axial vibration) sensor (see Table 2 for specifications).

Since each motor has a unique vibrational profile, the Reflexes Motor Sensor first determines a motor’s baseline operating condition during the learning period (see About the learning period).

The Reflexes Motor Sensor Cloud platform, mobile application, and API provide both time and frequency domain data. Fast Fourier transform (FFT) data allows for the quick identification of discrete frequency peaks.

Table 2: Vibration Sensor Specifications

Sensor Type Amplitude Range Frequency Range Sampling Frequency Number of Samples Data Formats Data Type
X-Axis Vibration

Y-Axis Vibration
±40 g. 1Hz to 3.1 kHz 6.25kHz 15,000 - 2.4 seconds waveform, FFT, rms Float


Figure 8 Figure 8: Vibration X-Axis Time Waveform in m/s2 (three samples, overlaid)

Figure 9 Figure 9: Vibration X-Axis FFT in dB

Figure 10 Figure 10: Vibration Z-Axis Time Waveform in m/s2 (one 2.4 second sample)



Figure 11 Figure 12 Figure 11 and 12: Vibration Z-Axis Time Waveform in m/s2 (one 2.4 second sample, zoomed-in views)

Figure 13 Figure 13: Vibration Z-Axis Fast Fourier Transform in dB (one 2.4 second sample)



Magnetic field sensor


Measurement of the magnetic field around a motor allows for insights into electrical and mechanical motor performance issues.

Reflexes Motor Sensors are equipped with a single magnetic field sensor (see Table 3 for specifications).

Table 3: Magnetic Field Sensor Specifications

Sensor Type Sampling Frequency Number of Samples Data Formats Data Type
Magnetic Field 6.25kHz 15,000 - 2.4 seconds waveform, FFT Float


Figure 14 Figure 14: Magnetic Field Time Waveform in mV (one 2.4 second sample)

Figure 15 Figure 15: Magnetic Field Time Waveform in mV (one 2.4 second sample, zoomed-in view)

Figure 16 Figure 16: Magnetic Field Time Waveform in mV (three 2.4 second samples, overlaid)

Figure 17 Figure 17: Magnetic Field Fast Fourier Transform in dB (one 2.4 second sample)



Temperature sensors


The majority of motor faults will eventually result in high temperatures. These high temperatures can be an indication of the excessive friction within a motor or fan issues. Reflexes Motor Sensors are equipped with two on-board temperature sensors: an environment temperature sensor and a motor temperature sensor (see Table 4).

The environment temperature sensor allows for Reflexes Motor Sensor to take ambient operating conditions, such as sunlight exposure, into account when assessing a motor’s temperature status.

Table 4: Temperature Sensor Specifications

Sensor Type Measurement Range Precision Accuracy Data Type

Environment Temperature


Motor Temperature | -40ºC to +150ºC | 0.0625 ± 0.5ºC | Float |



Figure 18 Figure 18: Motor Temperature in °C

Figure 19 Figure 19: Environment Temperature in °C



The Motor Object


The motor object consists of a components map. Each component has a Fault Score Index (FSI) and a Code. The FSI is a value between 0 and 10, related to the motor conditions described above. An FSI below ‘5’ indicates the corresponding motor component is in an Alarm state. FSI of ‘5’ or ‘6’ indicates a Warning, and an FSI above ‘6’ means the corresponding motor component is Good. The lower the FSI value the greater the severity of the component fault. For each component in a Warning or an Alarm state, an appropriate Code is assigned by the Reflexes Motor Sensor Cloud analytics. Each code defines both the recommended Action and the Description of the associated fault (see Table 5). Each component has multiple possible codes depending on the severity of the fault. For example, a Power System component with an FSI of ‘3’ or ‘4’ will be assigned code ‘1002’ and a Power System component with an FSI of ‘2’ or below will be assigned code ‘1003’.

Table 5: Component Codes Definitions

Code Action Description Notes
0 No action required No fault  
1001 Check this condition over time Warning: Possible Power System Imbalance  
1002 Action Required: Check Motor Power System Alarm: Power System Imbalance Detected  
1003 Action Required: Stop Motor And Check Motor Power System Alarm: High Power System Imbalance Detected  
2001 Check this condition over time Warning: Possible Stator Shortcircuit  
2002 Action Required: Check Stator Winding Condition Alarm: Stator Shortcircuit Detected  
2003 Action Required: Stop Motor And Check Stator Winding Condition Alarm: Stator Shortcircuit Detected  
3001 Check this condition over time Warning: Possible Rotor Active Parts Problem  
3002 Action Required: Check Rotor Condition Alarm: Rotor Active Parts Problem Detected  
3003 Action Required: Replace Rotor Alarm: Rotor Active Parts Problem Detected  
4001 Check this condition over time Warning: Imbalance Detected  
4002 Action Required: Balance Motor In Next Stop Alarm: Imbalance Detected  
4003 Action Required: Balance Motor As Soon As Possible Alarm: High Imbalance Detected  
5001 Check this condition over time Warning: Possible Eccentricity  
5002 Action Required: Check Rotor Eccentricity Alarm: Eccentricity Detected  
5003 Action Required: Check Rotor Eccentricity Alarm: Serious Eccentricity Detected  
6001 Check this condition over time Warning: Possible Bearing Outer Race Malfunction  
6002 Action Required: Lubricate Bearings Alarm: Bearing Outer Race Fault Detected  
6003 Action Required: Replace Bearings As Soon As Possible Alarm: Bearing Outer Race High Fault Detected  
6004 Check this condition over time Warning: Possible Bearing Inner Race Malfunction  
6005 Action Required: Lubricate Bearings Alarm: Bearing Inner Race Fault Detected  
6006 Action Required: Replace Bearings As Soon As Possible Alarm: Bearing Inner Race High Fault Detected  
6007 Check this condition over time Warning: Possible Bearing Rolling Element Malfunction  
6008 Action Required: Lubricate Bearings Alarm: Bearing Rolling Element Fault Detected  
6009 Action Required: Replace Bearings As Soon As Possible Alarm: Bearing Rolling Element High Fault Detected  
6010 Check this condition over time Warning: Possible Bearing Cage Malfunction  
6011 Action Required: Lubricate Bearings Alarm: Bearing Cage Fault Detected  
6012 Action Required: Replace Bearings As Soon As Possible Alarm: Bearing Cage High Fault Detected  
6013 Check this condition over time Warning: Possible De Bearing Outer Race Malfunction  
6014 Action Required: Lubricate Bearings Alarm: De Bearing Outer Race Fault Detected  
6015 Action Required: Replace Bearings As Soon As Possible Alarm: De Bearing Outer Race High Fault Detected  
6016 Check this condition over time Warning: Possible De Bearing Inner Race Malfunction  
6017 Action Required: Lubricate Bearings Alarm: De Bearing Inner Race Fault Detected  
6018 Action Required: Replace Bearings As Soon As Possible Alarm: De Bearing Inner Race High Fault Detected  
6019 Check this condition over time Warning: Possible De Bearing Rolling Element Malfunction  
6020 Action Required: Lubricate Bearings Alarm: De Bearing Rolling Element Fault Detected  
6021 Action Required: Replace Bearings As Soon As Possible Alarm: De Bearing Rolling Element High Fault Detected  
6022 Check this condition over time Warning: Possible De Bearing Cage Malfunction  
6023 Action Required: Lubricate Bearings Alarm: De Bearing Cage Fault Detected  
6024 Action Required: Replace Bearings As Soon As Possible Alarm: De Bearing Cage High Fault Detected  
6025 Check this condition over time Warning: Possible Nde Bearing Outer Race Malfunction  
6026 Action Required: Lubricate Bearings Alarm: Nde Bearing Outer Race Fault Detected  
6027 Action Required: Replace Bearings As Soon As Possible Alarm: Nde Bearing Outer Race High Fault Detected  
6028 Check this condition over time Warning: Possible Nde Bearing Inner Race Malfunction  
6029 Action Required: Lubricate Bearings Alarm: Nde Bearing Inner Race Fault Detected  
6030 Action Required: Replace Bearings As Soon As Possible Alarm: Nde Bearing Inner Race High Fault Detected  
6031 Check this condition over time Warning: Possible Nde Bearing Rolling Element Malfunction  
6032 Action Required: Lubricate Bearings Alarm: Nde Bearing Rolling Element Fault Detected  
6033 Action Required: Replace Bearings As Soon As Possible Alarm: Nde Bearing Rolling Element High Fault Detected  
6034 Check this condition over time Warning: Possible Nde Bearing Cage Malfunction  
6035 Action Required: Lubricate Bearings Alarm: Nde Bearing Cage Fault Detected  
6036 Action Required: Replace Bearings As Soon As Possible Alarm: Nde Bearing Cage High Fault Detected  
7001 Check this condition over time Warning: Possible Misaligment  
7002 Action Required: Align Motor In Next Stop Alarm: Misaligment Detected  
7003 Action Required: Align Motor As Soon As Possible Alarm: High Misaligment Detected  
8001 Check this condition over time Warning: Cooling System Malfunction  
8002 Action Required: Check Cooling System Alarm: Cooling System Malfunction  
8003 Action Required: Check Cooling System As Soon As Possible Alarm: Dangerous Cooling System Malfunction  
9001 Check this condition over time Warning: Possible Loose Foot - Motor Frame Problem  
9002 Action Required: Check Motor-Bench Assembly Alarm: Loose Foot - Motor Frame Problem Detected  
9003 Action Required: Check Motor-Bench Assembly Alarm: Loose Foot - Motor Frame Severe Problem Detected  
10001 Check this condition over time Global Vibration Acceleration Increasing <50%  
10002 Check this condition over time Global Vibration Acceleration Increasing <70%  
10003 Stop Motor: Check Bearing Lubrication, Bearings Condition, Coupling and Mechanical Parts Global Vibration Acceleration Increasing <100%  
10004 Stop Motor: Check Bearing Lubrication, Bearings Condition, Coupling and Mechanical Parts Global Vibration Acceleration Increasing <200%  
10005 Stop Motor: Check Bearing Lubrication, Bearings Condition, Coupling and Mechanical Parts Global Vibration Acceleration Increasing <250%  
10006 Stop Motor: Check Bearing Lubrication, Bearings Condition, Coupling and Mechanical Parts Global Vibration Acceleration Increasing <300%  
10007 Stop Motor: Check Bearing Lubrication, Bearings Condition, Coupling and Mechanical Parts Global Vibration Acceleration Increasing >300%  
10008 Check this condition over time Global Vibration Velocity Increasing <50%  
10009 Check this condition over time Global Vibration Velocity Increasing <70%  
10010 Stop Motor: Coupling Alignment, Structure Looseness, Bearings Condition and Mechanical Parts Global Vibration Velocity Increasing <100%  
10011 Stop Motor: Coupling Alignment, Structure Looseness, Bearings Condition and Mechanical Parts Global Vibration Velocity Increasing <200%  
10012 Stop Motor: Coupling Alignment, Structure Looseness, Bearings Condition and Mechanical Parts Global Vibration Velocity Increasing <250%  
10013 Stop Motor: Coupling Alignment, Structure Looseness, Bearings Condition and Mechanical Parts Global Vibration Velocity Increasing <300%  
10014 Stop Motor: Coupling Alignment, Structure Looseness, Bearings Condition and Mechanical Parts Global Vibration Velocity Increasing <300%  
10015 Check this condition over time Warning: Motor's RPM Has Increased  
10016 Action Required: If This Is Normal Operation Mode For The Motor, Please Perform Relearning Alarm: Motor's RPM Is Higher Than Normal Operation  
10017 Action Required: If This Is Normal Operation Mode For The Motor, Please Perform Relearning Alarm: Motor's RPM Is Much Higher Than Normal Operation  
10018 Check this condition over time Warning: Motor's RPM Has Decreased  
10019 Action Required: If This Is Normal Operation Mode For The Motor, Please Perform Relearning Alarm: Motor's RPM Is Lower Than Normal Operation  
10020 Action Required: If This Is Normal Operation Mode For The Motor, Please Perform Relearning Alarm: Motor's RPM Is Much Lower Than Normal Operation  
10021 Check this condition over time Warning: Motor's Load Has Increased  
10022 Action Required: If This Is Normal Operation Mode For The Motor, Please Perform Relearning Alarm: Motor's Load Is Higher Than Normal Operation  
10023 Action Required: If This Is Normal Operation Mode For The Motor, Please Perform Relearning Alarm: Motor's Load Is Much Higher Than Normal Operation  
10024 Check this condition over time Warning: Motor's Load Has Decreased  
10025 Action Required: If This Is Normal Operation Mode For The Motor, Please Perform Relearning Alarm: Motor's Load Is Lower Than Normal Operation  
10026 Action Required: If This Is Normal Operation Mode For The Motor, Please Perform Relearning Alarm: Motor's Load Is Much Lower Than Normal Operation  
10027 Check this condition over time Warning: The Environment Temperature Has Increased  
10028 Action Required: If This Is Normal Operation Mode For The Motor, Please Perform Relearning Alarm: The Environment Temperature Is Higher Than Normal Operation  
10029 Action Required: If This Is Normal Operation Mode For The Motor, Please Perform Relearning Alarm: The Environment Temperature Is Much Higher Than Normal Operation  
10030 Check this condition over time Warning: The Environment Temperature Has Decreased  
10031 Action Required: If This Is Normal Operation Mode For The Motor, Please Perform Relearning Alarm: The Environment Temperature Is Lower Than Normal Operation  
10032 Action Required: If This Is Normal Operation Mode For The Motor, Please Perform Relearning Alarm: The Environment Temperature Is Much Lower Than Normal Operation  
-1 Check SMS device Disconnected  


The status of the motor object indicates the overall state of the motor. The state property reflects the component with the most severe fault (lowest FSI value). For example, if a motor has multiple components with faults; one an Alarm and another a Warning, the state property of the motor object's status will indicate alarm. Additionally, the status specifies connection information; online or disconnected, as well as last online datetime.

Each Motor has an associated Motor Log. This log comprises of historical entries that record the various events that the motor has experienced:

State Description
learning Motor is learning in order to generate model
alarm One or more components have an FSI below ‘5’
comment Operator added a comment through the cloud dashboard or mobile application
repaired Operator took action and marked the motor as repaired
recovered Analytics detected that the motor condition has improved; the FSI increased to ‘5’ or above


API Datasets


vibx


Each record contains an array of 15,000 samples captured on the specified timestamp.

The Vibration X (vibx) is the vibration acceleration measured in the tangential direction of the motor. This recorded data shows the vibration X waveform data, in the unit of m/s2. With the vibrations X and Z measured from the motor, the Otosense PdM system can detect the mechanical failures of the motor.

It is necessary to generate the corresponding X-axis data to plot this Vibration X (vibx) waveform data in a graphic: The X-axis data is a vector of 15,000 data points with a step of 0.00016s. For example:

[0, 0.00016, 0.00032, 0.00048, .... 2.39984]

The following two datasets Vibration Z (vibz) and Magnetic Field (flux) also need the same X-axis data to generate the waveform graphic.



vibz

Each record contains an array of 15,000 samples captured on the specified timestamp.

The Vibration Z (vibz) is the vibration acceleration measured in the axial direction of the motor. This recorded data shows the vibration Z waveform data, in the unit of m/s2. With the vibrations X and Z measured from the motor, the Otosense PdM system can detect the mechanical failures of the motor.

flux

Each record contains an array of 15,000 samples captured on the specified timestamp.

The Magnetic Field (flux) is the magnetic field leaked from the motor and measured on the surface of the frame. This recorded data shows the magnetic field waveform data, in the unit of mV. With the magnetic field from the motor, the Otosense PdM system can detect the electrical failures of the motor.

tempe

Each record contains an array of 2 samples captured on the specified timestamp.

It is the environment temperature measured by the SMS device. There are two temperature sensors on both sides of the SMS device: the temperature sensor on the outside side (not towards the motor) measures the environment temperature.

tempm

Each record contains an array of 2 samples captured on the specified timestamp.

It is the motor frame temperature measured by the SMS device. The temperature sensor on the inside side (towards the motor) measures the motor temperature.

vibxFFT

Each record contains an FFT of the vibx samples captured on the specified timestamp.

This data is the result of the FFT transformation with the vibration signal X, in the unit of dB.

It is necessary to generate the corresponding X-axis data to plot this vibxFFT data in a graphic. The X-axis data is a vector of 7,500 data points with a step of 0.41667Hz, for example:

[0.41667, 0.83334, 1.25, .... , 3125]

The following two datasets vibzFFT and fluxFFT also need the same X-axis data to generate the FFT graphic.



vibzFFT

Each record contains an FFT of the vibz samples captured on the specified timestmap.

This data is the result of the FFT transformation with the vibration signal Z, in the unit of dB.

fluxFFT

Each record contains an FFT of the flux samples captured on the specified timestmap.

This data is the result of the FFT transformation with the magnetic field, in the unit of dB.

performance

Each record contains a collection of performance parameters:

Parameter Mesurement Value Description
rmsVx m/s2 RMS value fo the vibration X acceleration (tangential)
rmsVxV mm/s RMS value fo the vibration X velocity (tangential)
rmsVxD µm RMS value fo the vibration X displacement (tangential)
rmsVz m/s2 RMS value fo the vibration Z acceleration (axial)
rmsVzV mm/s RMS value fo the vibration Z velocity (axial)
rmsVzD µm RMS value fo the vibration Z displacement (axial)
rmsFlux mV RMS value fo the magnetic field
rpm RPM (rev/min) Motor rotating speed in RPM
tempMotor ºC Temperature of the motor (ºC)
tempEnv ºC Temperature of the motor environment (ºC)
operationHours hours Approximation of the motor running time
running Integer flag Running flag, 1 if running, 0 if not running.
When the motor is rotating at a very low speed, less than 25% of its rated speed (rated RPM), the analytics may interpret the motor as stopped.
running is used to calculate the Number of Starts in a time range. Chronologically sort the performance records in the time range, and count the number of times _running_ transitions from '0' to '1'. This approximates the number of times the motor started in the specified time range.


conditions

Each parameter in the following table represents the Fault Score Index (FSI) of the corresponding motor component condition. These predicted health indicators for motor components are generated each time the analytics processes data samples received from a running motor. The values are between zero and ten:

  1. A value of 10 corresponds to a perfect state for the component.
  2. A value of 0 corresponds to a catastrophic state for the component.
Parameter Motor Component Description
powerSystem Power System Problems in the three phases of the power supply, which could lead to a motor current imbalance.
statorWinding Stator Winding Problems in one of the phases of the motor, which could cause an imbalance of the motor currents.
rotorBar Rotor Short-circuit ring or rotor bar related problems.
imbalance Motor Shaft / Balance Unequal distribution of mass, causing the center of gravity to shift from the center of rotation.
eccentricity Eccentricity Asymmetric air gap between the rotor and stator.
bearing Bearing Mechanical stress or contamination leading to small cracks or defects that occur in the bearing, creating vibration problems.
misalignment Alignment Occurs when two rotating shafts (motor and load) are not aligned, creating external misalignment.
cooling Cooling System Problems with fans attached to the shaft or externally attached to the motor.
motorStructure Loose Foot Structural looseness occuring when the motor base (or connection to the motor base) is not properly tightened.
performance Performance Used to capture abnormal events such as an overall increase in vibrations, unusual changes in motor RPM, motor load or temperatures, etc. Indicates faults that do not correspond to any of the other nine fault categories, which could be related to machine process.


operations

Each record contains operational details captured on the specified timestmap.

Parameter Description
batteryStatus Battery status, g for full, y for medium, r for low.


Appendix A: Cloud Platform Parameters

Parameter Description Data Format Unit
vibx Vibration X-axis waveform array m/s2
vibz Vibration Z-axis waveform array m/s2
flux Magnetic flux array mV
vibxFFT Vibration X-axis FFT magnitude array dB
vibzFFT Vibration Z-axis FFT magnitude array dB
fluxFFT Magnetic flux FFT magnitude array dB
tempe Environment temperature array °C
tempm Motor temperature array °C


Appendix B: Reflexes Motor Sensor Technical Specifications

   
Networking Standards Wi-Fi b/g/n
Radio Standards IEEE 802.11 b/g/n
Networking Frequency 2.4 GHz
Wi-Fi Security Standards WPA2
Wireless Range >50 m
Battery Life 1 year (estimated)
Operating Temperature -40°C to +60°C
Storage Temperature 50°C max
Weight 0.5 kg
Certifications CE IP Class IP55