Condition monitoring provides ongoing observation of and feedback about a system’s welfare. It works by continuously monitoring specified system parameters and applying intelligence around the data to infer the condition of the system.
So condition monitoring is based on both sensings and on interpreting the data sensed. Those two areas are both key focuses at the moment. There is a lot of development activity around the sensory component itself – this could include the use of vibration/acoustic/ultrasonic sensing of rotating machinery. The second key area of focus is around the ability to interpret data and so there is a concentration of activity on the clever algorithms and analytics needed to carry out trend analysis.
Read more in our white paper reviewing the benefits, application industries, and technologies around condition monitoring.
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