Predictive Maintenance and Condition Monitoring

By STMicroelectronics 52

Predictive Maintenance and Condition Monitoring

STMicroelectronics' STEVAL-BFA001V1B is an industrial reference design kit designed for condition monitoring (CM) and predictive maintenance (PdM). The kit consists of an industrial sensor board, an adapter for the ST-LINK/V2 programming and debugging tool, a 0.050” 10-pin flat cable, a 4-pole cable mount connector plug with male contacts, and an M12 female connector with a 2 m cable. The STEVAL-BFA001V1B reference kit for condition monitoring and predictive maintenance is based on the high-performance industrial sensor platform. The compact design is especially suitable for monitoring motors, pumps, and fans.

The sensor platform embeds a high-performance Arm® Cortex®-M4 32-bit microcontroller (STM32F469AI), iNEMO 6DoF accelerometer and gyroscope (ISM330DLC), a barometric pressure sensor (LPS22HB), a relative humidity and temperature sensor (HTS221), a digital microphone (MP34DT05-A), EEPROM (M95M01-DF) for data storage, IO-Link PHY device (L6362A), and power management based on a step-down switching regulator and LDO regulator (L6984 and LDK220).

The firmware package, STSW-BFA001V1, includes dedicated algorithms for advanced time and frequency domain signal processing and analysis of the 3D digital accelerometer with 3 kHz flat bandwidth. The package includes drivers for pressure, relative humidity, and temperature sensor monitoring. Audio algorithms for acoustic emission (AE) are also part of the package.

Features

  • Main supply voltage 18 V to 32 V
  • Main components
    • 32-bit Arm Cortex-M4 core for signal processing and analysis (STM32F469AI)
    • iNEMO 6DoF (ISM330DLC)
    • Absolute digital pressure sensor (LPS22HB)
    • Relative humidity and temperature sensors (HTS221)
    • Digital microphone sensors (MP34DT05-A)
    • IO-Link PHY device (L6362A)
    • EEPROM (M95M01-DF) for data storage
    • Step-down switching regulator and LDO regulator (L6984 and LDK220)
  • Microphone algorithms
  • M12 industrial connector
  • SWD connector for debugging and programming capability
  • IO-Link PHY using the L6362A device transceiver for data communication with host unit
  • Compact solution for condition monitoring and predictive maintenance based on 3D digital accelerometer, environmental, and acoustic MEMS sensors
  • Complete set of firmware demo examples based on 3D accelerometer library with advanced frequency and time domain signal processing for predictive maintenance

Categories

Top