Monitoring machine operations using on-line sensors

Linguo Gong

doi:10.1016/S0377-2217(96)00101-4

Monitoring machine operations using on-line sensors

1997-02-01

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DOI：10.1016/S0377-2217(96)00101-4

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Monitoring machine operations and production process conditions using on-line sensors has drawn increasing attention recently. In this paper, we discuss a situation where an on-line sensor is used to monitor a randomly deteriorating machine operation. The machine condition is described by a finite number of states, and the machine deterioration follows a Markov process. It is assumed that the sensor measurement and the true machine condition have a statistical relation. A decision is to be made on when a machine setup should be made, based on the observed sensor measurement. A Markovian model is developed by considering the cost of operating the machine and the cost of performing preventive maintenance, and a steady state threshold policy is developed by minimizing the total cost. In addition, a heuristic method based on Bayes rule is proposed. A simulation study is used to study and compare the properties of these two policies.

Keywords:

on-line sensors

Markov process

Bayes rule

cost minimization

Monitoring machine operations using on-line sensors

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