Learn how predictive maintenance sensors help anticipate machine failures, increase productivity, lower maintenance costs, and improve worker safety.
While condition monitoring has been around for years, it is evolving with the Internet of Things (IoT). This growth of IoT, and its advancing ecosystem which supports continuous monitoring in all factory assets, has affected condition monitoring practices and has contributed to evolving predictive maintenance operations. Sensors are now being manufactured to include the requirements demanded by this IoT ecosystem. The latest sensor developments are being influenced by IoT trends such as miniaturization, digitization, sensor fusion, low power and wireless technologies while being packaged for harsh environments. As a result, sensors are progressing to enable continuous condition monitoring by collecting data which facilitates intelligent decisions via machine learning or artiﬁcial intelligence (AI). Vibration, pressure, position, speed, fluid property, temperature and humidity sensors all play a critical role within industrial condition monitoring applications. These industrial sensors help reduce downtime by predicting machine failures, increasing productivity, lowering maintenance costs, and improving worker safety.
Industrial condition monitoring sensors historically have been used for heavy, high-end machinery such as windmills, industrial pumps, compressors, and HVAC systems. However, with the shift in IoT and increased automation practices, there is a need for adding condition monitoring sensors onto smaller systems such as machine spindles, conveyor belts, sorting tables, and machine tools which require better predictive maintenance. Reducing machine downtime in these industrial applications is a critical consideration in terms of customer experience and profitability. Therefore, the value of implementing condition monitoring and preventive maintenance practices include many benefits which would not be realized without the use of accurate, reliable sensors. With the proper sensor to measure the needed data, condition monitoring could be accomplished within any industrial application and predictive maintenance can take place to confirm that operations can stay up and running when needed.
What is industrial condition monitoring?
Condition monitoring is the method of assessing components within industrial equipment to identify any changes that occur within the machinery which typically indicates there is a problem. If there is a significant change detected, this could signal the need for maintenance.
What is predictive maintenance?
Predictive maintenance is a subset of condition monitoring that focuses on determining when maintenance needs to be performed on industrial equipment and machinery. It enables uptime for manufacturing factories and allows for continuous development of goods to confirm positive customer experiences and profitability.
Do sensors enable condition monitoring and predictive maintenance?
Yes, by placing sensors on industrial equipment to monitor performance, identify changes in different parameters, and determine if changes signal a need for equipment maintenance enables the practice of condition monitoring and/or predictive maintenance. Sensors are progressing to facilitate continuous condition monitoring by collecting data which helps in making intelligent decisions via machine learning or artiﬁcial intelligence (AI).
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