• 返回

  • Predictive Maintenance and Condition Monitoring

    Vibration Monitoring for Predictive Maintenance

    Monitor machine health utilizing predictive maintenance by continuously monitoring for vibration and temperature changes. Watch the video to learn how.

    Maintenance Based on Data from the Machine Itself


    Predictive maintenance is becoming essential to the smart factory.  Predictive maintenance enables users to more accurately anticipate when machine maintenance will be needed based on real-time data from the machines themselves. 

    The ability to accurately track machine performance and anticipate failures before they occur is helping manufacturers improve productivity and reduce wasted time and costs.

    What is Predictive Maintenance?

    QM30VT Series vibration and temperature sensor with CM Series node and current transformer
    Predictive Maintenance

    What It Is and Why It Matters

    Predictive maintenance is the process of tracking the performance of crucial machine components, such as motors, to minimize downtime needed for repairs. Predictive maintenance enables users to more accurately anticipate when machine maintenance will be needed based on real-time data from the machines themselves.

    Traditionally, plant managers relied on preventative maintenance schedules provided by a machine’s manufacturer, including regularly replacing machine components on a suggested timeline. However, these timelines are only estimates of when the machine will require service, and the actual use of the machine can greatly affect the reliability of these estimates.

    For example, if bearings wear prematurely or a motor overheats, a machine may require service sooner than anticipated. Furthermore, if a problem goes undetected for too long, the issue could escalate to further damage the machine and lead to costly unplanned downtime.  Predictive maintenance helps avoid these problems, saving time and costs. 

    Key Elements of a Predictive Maintenance Solution

    Dollarphotoclub_43409971 Vibe monitoring
    Condition Monitoring

    Vibration & Temperature Indicate Machine Health

    Condition monitoring plays a key role in predictive maintenance by allowing users to identify critical changes in machine performance. One important condition to monitor is vibration. Machine vibration is often caused by imbalanced, misaligned, loose, or worn parts.

    As vibration increases, so can damage to the machine. By monitoring motors, pumps, compressors, fans, blowers, and gearboxes for increases in vibration, problems can be detected before they become severe and result in unplanned downtime.

    Vibration sensors typically measure RMS velocity, which provides the most uniform measurement of vibration over a wide range of machine frequencies and is indicative of overall machine health.  Another key data point is temperature change (i.e. overheating). 

    42058
    42058
    42058
    42058
    Machine Learning

    Automatically Set Baseline & Alert Thresholds

    Machine learning takes condition monitoring data and automatically defines a machine's baseline conditions and sets thresholds for acute and chronic conditions so that you know in advance--and with confidence--when your machine will require maintenance. 

    After mounting the vibration sensor onto your machine, most sensors require you to collect enough data to establish a baseline for the machine. Machine learning removes the chances of human error by automating the data analysis.

    A condition monitoring solution with machine learning will recognize the machine’s unique baseline of vibration and temperature levels and automatically set warning and alert thresholds at the appropriate points. This makes the condition monitoring system more reliable and less dependent on error-prone manual calculations. 

    qm30vt-motor-vibration-detection
    dxm100-k70-cleanroom-hallway
    Indication and Data Logging

    Real Time Alerts, Long Term Optimization

    When a vibration or temperature threhold has been exceeded, a smart condition monitoring system provides both local indication, such as sending a signal to a tower light in a central location, and remote alerts like emails or text messages. This ensures that warnings are addressed quickly. 

    In addition, a condition monitoring solution that allows you to log the collected data over time enables even more optimization. With a wireless system, vibration and temperature data can be sent to a wireless controller or programmable logic controller (PLC) for in-depth, long-term analysis. 

    Featured Products

    QM30VT Series vibration and temperature sensors
    QM30VT Series

    Vibration and Temperature Sensor

    QM30VT Series sensors have a low-profile design and rigid metal construction that reduces resonant interference and increases surface contact, enabling exceptional levels of accuracy in measuring RMS velocity and temperature. They are able to detect even slight increases in machine vibration and temperature for early identification of potential problems.

    • Communicates performance data using a MultiHop Modbus Radio or 1-Wire Serial Node to a DXM Series wireless controller or gateway
    • Detects potential problems on motors, fans, pumps, and any machine with rotating motion or vibration
    • Ultracompact design fits easily in small spaces
    • Available in models with a 316L stainless steel housing or a heavy-duty aluminum housing
    • Fully compatible with Connected Data Solutions software and the Wireless Solutions Kit for Vibration and Temperature
    Wireless_Box_Closed_Home_Screen
    Wireless Solutions Kit

    For Vibration Monitoring

    Wireless_Box_Closed_Home_Screen
    DXM_Wireless_Straight_On_Small_Antenna
    DXM Series

    Wireless Controller for IIoT Applications

    DXM 系列工業無線控制器設計用於促進乙太網路連接和工業物聯網 (IIoT) 應用。 

    • ISM 模組可用於本地無線網路,提供頻率為 900 MHz 或 2.4 GHz 兩種型號
    • 將 Modbus RTU 轉換為 Modbus TCP/IP 或乙太網路/IP
    • 邏輯控制器可以使用動作規則和文字說明方法進行編程
    • 用於數據記錄的 Micro SD 卡
    • 電子郵件和文字警報
    • 用於蜂巢式網路的蜂巢式數據機
    Resources

    加入我的資料庫
    已加入