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    Condition monitoring and Predictive Maintenance

    Avoid unplanned downtime with ST's predictive maintenance solutions

    Condition Monitoring (CM) and Predictive Maintenance (PdM)

    Did you know unplanned downtime can cost manufacturing industries an estimated $50 billion per year? Did you also know that 42% of downtime is caused by equipment failure? Predictive Maintenance (PdM) solutions are one of the fastest growing techniques to identify machine deterioration and avoid unpredicted failure in harsh factory environments.

    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 to be 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, environment and quality risks by 14%
    • Extend the lifetime of an aging asset by 20%.

    Discover the predictive maintenance and condition monitoring solution from STMicroelectronics. Featuring the easy-to-use STWIN Kit along with 2 expansion boards and component solutions.

    STWIN SensorTile Wireless Industrial Node Development Kit

    The STWIN (STEVAL-STWINKT1) 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.Based on ultra-low-power STM32 Arm® Cortex® M4 microcontrollers, the STWIN also supports Bluetooth-Low-Energy wireless connectivity with a built-in BLE module. Additionally, it features a dedicated tool chain and a rich set of software packages and optimized firmware libraries. Complimented 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-STWINKT1.

    Block diagram of STEVAL-STWINKT1

    The STWIN board is fully packed with components that enable sensing, processing, connectivity and security capabilities for advanced industrial IoT solutions.

    Ask the Expert- MEMs Sensors and Predictive Maintenance

    All things MEMS and Sensors with Andrea Onetti from STMicroelectronics. Listen in as the Group Vice President and General Manager of ST's Volume MEMS & Analog Division answers questions submitted by our DesignSpark community.

    Unboxing the STWIN SensorTile

    Kamilla takes a first look at the new SensorTile development kit for advanced industrial IoT applications from STMicroelectronics, the STWIN SensorTile. With industrial-grade onboard sensors, it’s ideal for the development of condition monitoring and predictive maintenance applications.

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    New Products Coming Soon!

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