Predictive Maintenance Reporting IoT Sensors Minimize Downtime

For production to run smoothly in industrial environments, such as chemical or food processing plants, energy plants, and electronic manufacturing, the machinery involved needs to operate continuously. Excessive downtime is simply not an option.

To ensure machines continue running and to minimize downtime, technicians must regularly conduct preventive and predictive maintenance.

Preventive maintenance involves powering down machinery to make adjustments and change fluids. Predictive maintenance entails conducting checks and tests while machinery is running to make sure parts are not about to fail. These measures are necessary for most machines to operate efficiently.

In the past, technicians were tasked with the tedious work of predictive maintenance. Now, with Industrial IoT (IIoT) technology at the forefront, different types of IoT sensors are able to predict when a part on a machine is about to fail, sometimes months in advance.

Industrial IoT in Smart Manufacturing

According to Analog Devices, below are different types of sensors and what type of fault sense they are good for:

Vibration IoT Sensors

  • Micro-electro-mechanical systems (MEMS) accelerometers
    • Monitors high and low-frequency vibrations
    • A less expensive sensor
    • Measures vibration of up to three axles, up and down, side to side, and forward and backward
  • Piezo accelerometers
    • Controlled by electric current due to motion
    • Monitors high and low-frequency vibrations
    • Measures vibration of up to 3 axes, up and down, side to side, and forward and backward

Sound Pressure IoT Sensors

  • Microphone
    • Low cost
    • Performance can be disrupted by environmental noises
  • Ultrasonic microphone
    • Low cost
    • Listens to sounds in the no audible spectrum

Both types of microphones are capable of detecting and sensing the same issues as the Piezo and MEMS vibration sensors.

Motor Current IoT Sensors

  • Shunt, current transformer
  • Low cost
  • Good for sensing:
    • Eccentric rotors issues
    • Winding issues
    • Rotor bar issues
    • Supply imbalance issues
    • Bearing issues

Magnetic Field IoT Sensors

  • Hall, magnetometer, search coil
  • Low cost
  • Good for sensing:
    • Rotor bar issues
    • End ring issues

Benefits of Using LTE with Datablaze Voyager IoT

Temperature IoT Sensors

  • Infrared thermography
    • Expensive
    • Good for sensing:
      • Heat source location due to friction
      • Load changes
      • Excessive start/stop
      • Insufficient power supply
  • RTD, thermocouple, digital
    • Low cost
    • Good for sensing:
      • The change in temperature due to friction
      • Load changes
      • Excessive start/stop
      • Insufficient power supply

Oil Quality IoT Sensors

  • Particle monitor that detects viscosity, particles, and contamination.
  • Good for detecting debris from wear

Contact us for a demo or more information on our basic refrigeration monitoring kit or custom IoT sensor kits.

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About Datablaze

Datablaze is at the forefront of IoT connectivity and fully managed service solutions with a large base of customers and subscribers, both domestically and internationally. Datablaze has active M2M and IoT deployments in over 125 countries. By working directly with the world’s top cellular carriers to build leading-edge IoT products and integrations, Datablaze continues to deliver successful customer-driven deployments globally. Datablaze provides 2G/3G/4G-LTE/5G/NB-IoT/CAT-M connectivity and management, with web, mobile, and API access. Accurate and simple reporting allows better downstream billing and cost management across deployments. Datablaze supports multi-carrier deployments, smart sims, multi-carrier SIMs and smart switching between carriers for optimal coverage and cost savings. To learn more about Datablaze, visit https://datablaze.com/ or connect on LinkedIn.

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