Predictive Maintenance Helps Prevent Catastrophic Failures

Predictive Maintenance uses condition monitoring to measure vibration and other parameters on a machine over a period of time. Changes in these parameters indicate specific faults and can predict the time at which they become unacceptable. By detecting and diagnosing faults, customers can schedule maintenance periods more effectively. Because PM detects affected components before repairs begin, down time is minimized and spare parts inventory reduced. A successful PM program builds a history of each monitored machine.

Inman Electric Motors provides turnkey service for instituting complete predictive maintenance programs at any plant site. We use Computational Systems Inc. (C.S.I.) vibration analysis equipment. We will work with your personnel to determine critical machines and time frames for monitoring. Inman Electric Motors will set up a plant database on the equipment selected during the planning phase. Routes and schedules establish a routine of data collection, alarm checking, results trending, and reporting. Our technicians record vibration measurements on site using handheld data collectors with a vibration transducer. The PM software loads a list of locations that are due for measurement into the data collector. The operator moves around these locations, making measurements at each point in turn. Once completed, all measurements are transferred into the PM database. The PM software compares all measurements against a set of alarm specifications. The development of a fault is indicated when current measurements exceed alarm specifications. An exception report is printed automatically providing immediate advice for action. Diagnostic efforts may be focused where they matter most, on points of exception.

Inman Electric Motors provides data collection, written reports, diagnosis of specific faults, and recommendations for corrective action on a routing and continuous basis. Our technicians are currently monitoring and diagnosing over 10,000 measurement points for various industrial manufacturers. We have invested over one hundred thousand dollars in instrumentation, software, and technical training.