Investing the correct amount in condition monitoring can be a challenge as it's easy to spend too much and be disappointed with the results.

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Reducing machine downtime can come through condition monitoring (current health) and prognostics (remaining useful life), key for predictive maintenance

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Different techniques come under the label 'condition monitoring'. In this overview we explore where it came from, what is done and how effective it is.

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Prognostics is a relatively new term in industry and it's key to predictive maintenance. It all comes down to calculating the remaining useful life of machines.

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Condition monitoring is useful for understanding the current condition of an asset but requires lots of manual analysis to get value from. We're changing that.

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Condition monitoring is a manual process that doesn't scale. With cloud computing and the advent of prognostics, condition monitoring is best left to machines.

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Condition monitoring is becoming more powerful by adding prognostics with PROGNOSYS, here's how

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Senseye is focused in getting to the operational stage as quickly as possible and getting to the ROI evidence in months rather than years.

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Condition Monitoring (CM) is the process of monitoring data (vibration, acoustic emissions, temperature, etc) from machinery in order to identify changes which may indicate faults.

Condition monitoring project life cycles tend to follow a consistent traditional engineering roadmap from specifying the system through implementation, rollout, training and support.....

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