Condition Monitoring and Predictive Maintenance

Predictive maintenance is based on condition monitoring (CM) to detect irregular activities and provide relevant data to spot abnormal conditions in equipment. All machines are prone to wear and tear, and unplanned downtime is very costly. Condition monitoring is a major part of predictive maintenance and continuously monitors equipment through dedicated sensor nodes. Therefore, collecting and analyzing data is an essential part of Industry 4.0 and is considered one of the most valuable applications of the Internet of Things (IoT) on the factory floor.

The global predictive maintenance market is expected to grow to $6.3 billion by 2022 - according to a report by Market Research Future. Additionally, it is expected that predictive maintenance will be used by 83 percent of manufacturing companies in the next two years.

According to PWC, the benefits of predictive maintenance in factories can:

• Reduce costs by 12%
• Improve uptime by 9%
• Reduce safety, health, environmental and quality risks by 14%
• Extend the lifetime of an ageing asset by 20%

Discover predictive maintenance and condition monitoring solutions from RS.

The STWIN (STEVAL-STWINKT1B) kit from STMicroelectronics is specifically designed for predictive maintenance and condition monitoring applications. Key features of this core system board include high-performance, industrial-grade MEMS sensors and ultra-low-power STM32L4 microcontroller series based on Arm® Cortex®-M432-bit RISC core. The STWIN kit also supports Bluetooth v5.2 certified wireless connectivity with a very low power Bluetooth Low Energy (BLE) module - BlueNRG-M2. Additionally, it features a dedicated toolchain and a rich set of software packages and optimised firmware libraries. Complemented with a cloud-based dashboard application, the STWIN speeds up designed cycles for end-to-end solutions.

Compatible Expansion Boards Available: Two compatible expansion boards are also available from STMicroelectronics. Introducing the STEVAL-STWINWFV1 Wi-Fi board and Analog Microphone Array board - the STEVAL-STWINMAV1.

Block diagram of STEVAL-STWINKT1B: The STWIN board is fully packed with components that enable sensing, processing, connectivity and security capabilities for advanced industrial IoT solutions.