Products

Cost-Effective & Highly Accurate Prediction of the Remaining Useful Life of Industrial Equipment.

vibration-sensors

1 Vibration Sensors for
Industrial Internet of Things (IIOT)

  • Truly Wireless
  • Next generation accelerometer as well as temperature, pressure and humidity sensors.
  • Can be adhesive, stud or magnet mounted.
  • Sensor installations can be completed in less than 5 minutes
  • Explosion proof design meets stringent industry standards including: ATEX Zone 0, ASME Class 1 Div 2, NEMA 250, UL746C, IP69K/IPX7, FCC & IC
  • High performance MEMs based sensor up to +/- 40 g acceleration range.
  • Rated for -45C to +125C
  • Rated up to 5kHz
  • Ultra low power consumption due to innovative hardware and variable transmission frequency extends battery life.
  • Vibration & Natural Frequency Testing passed
  • Unique Skeleton holder ensures noise down to 0.0001%
vibration-sensors

2 Wireless Vibration Sensor for both early
and late stage defects

Detects faults such as:

  • Bearing inner and outer race failures
  • Bearing cage and roller failures
  • Shaft misalignment
  • Single and multiple gear tooth failures
  • Early and late stage shaft cracking
  • Cavitation
  • Machine Imbalance
  • Patented combination of specialized signal and neural network processing methods. Our process ensures the lowest error rate, fastest convergence rate and detects faults with greater than 90% accuracy.
  • Specialized neural networks algorithm used for autocalibration of sensors giving highly consistent and noise free readings
  • Multi-sensor fusion using Deep Learning with specialized neural networks provides absolute low error rate of the order of 1e-20.
  • Gathers up to 145 features (best in class for vibration analysis software) enabling highly accurate fault diagnosis and determination of remaining useful life.
vibration-sensors

3 Machine Learning based
health updates

  • Combination of specialized neural networks & kernel based extrapolation methods used for predicting remaining useful life with more than 90% accuracy.
  • Gathers full spectrum of time domain, frequency domain and time frequency domain features
  • Specialized neural networks algorithm used for autocalibration of sensors giving highly consistent and noise free readings
vibration-sensors

4 Secure data transmission to
Cloud server

  • Complies with TLS 1.2 Security Protocol
  • One-way data traffic originates from sensor, no communication from server back to sensor.
  • Completely server-less architecture
  • Sensor data is stored locally with scheduled uploads to the cloud using the most highly-secure platform in the world (certified by UL).
  • Complete data pipeline is encrypted
vibration-sensors

5 Real-time alerts and reports

  • Weak incipient (early stage) fault alerts
  • Characteristic fault alerts (such as Bearing Inner Race Failure)
  • Text & Email alert system available
  • Low battery alert available
vibration-sensors

6 User-friendly dashboard available
on mobile devices

  • Approved users stay updated on equipment health from anywhere at any time.
  • Data can be accessed for independent analysis.
  • Data, images and drawings can be associated to individual sensors to provide technicians with information on equipment and sensor location as well as other relevant data including P&ID layouts, etc.
  • Vibration data by axis, Vrms vs. Time, Kurtosis vs. Time, Machine Life and Machine Health available at a glance
vibration-sensors

1 Strain Sensors for
Industrial Internet of Things (IIOT)

  • Predicts the remaining time to fatigue failure of industrial assets such as bridges, dams, cranes, pressure vessels etc
  • Truly Wireless
  • Strain sensor with additional temperature, pressure and humidity sensors.
  • Can be adhesive mounted or stud mounted on static structures.
  • Installation time is less than 5 minutes per sensor
  • Meets stringent industry standards such as: ASME Class 1 Div, IP65, FCC & IC
  • Strain Resolution – 1 µStrain
  • Rated for -45C to 125C.
  • Ultra low power consumption due to innovative hardware and variable transmission frequency extends battery life.
  • Continuously monitors the stresses that the asset is exposed to and signals any suspicious movement
  • Avoid catastrophic failures that can cause millions in lost revenues and billions in reputational losses

2 Fault Diagnosis

  • Real time structural diagnostics indicating the breach of a critical stress or strain limit.
  • Failure potential of the joints
  • Critical bending limit of the slabs
  • Patent pending combination of specialized signal processing method and specialized neural networks method ensures a least error rate, fastest convergence rate and detects faults with proven accuracy greater than 90%.
  • Specialized neural networks algorithm used for autocalibration of sensors giving highly consistent and noise free readings
  • Multi-sensor fusion using Deep Learning with specialized neural networks provides absolute low error rate of the order of 1e-20.
  • Combines physics based model with the data based model to provide better detection
vibration-sensors

3 Neural Networks & Kernel method
based Remaining Useful Life
estimation

  • First such algorithm in the industry which uses artificial intelligence, material properties & IoT
  • Combination of specialized neural networks & kernel based extrapolation methods used for predicting remaining fatigue life with more than 90% accuracy.
  • Gathers and learns from the material data and applies it to the real time strain sensor data
vibration-sensors

4 Secure data transmission
to Cloud server

  • Complies with TLS 1.2 Security Protocol
  • One-way data traffic originates from sensor, no communication from server back to sensor.
  • Completely server less architecture provided
  • Sensor data stored locally with scheduled uploads to cloud server using most cyber-secure platform (Certified by UL) available in the world
  • Complete data pipeline is encrypted
vibration-sensors

5 Real-time alerts and reports

  • Weak incipient (early stage) fault alerts
  • Text & Email alert system available
  • Low battery alert available
vibration-sensors

6 User-friendly dashboard available
on mobile devices

  • Approved users stay updated on the health of their equipment from anywhere at any time.
  • Data can be accessed for independent analysis.
  • Data, images, drawings can be tied to individual sensors to provide technicians with information on the location of the equipment and sensors as well as other user-defined information such as P&IDs etc.
  • Fatigue & Stress Cycles data and overall structural health of the asset available
  • Patented Platform for the automatic detection of the high stress points enables quick sensor installation turnaround and very high quality predictions

VibrationLF

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    Install

    Advanced wireless sensors mounted at the optimal location on your equipment.

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    Collect

    Data is assembled in the Cloud and processed real time using sophisticated signal processing methods.

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    Analyze

    Patented, state-of-the-art Deep Learning algorithms learn from the processed data to accurately predict mode of failure and remining life.

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    Control

    The health condition of various components of each piece of equipment is available in real-time on your smartphone, tablet or
    desktop.