Modeling on Condition Mornitoring of Cigarette Manufacture Equipment

Vibration monitoring is an effective means of condition monitoring, which is importance to manufacture. But some times, unqualified cigarette is produced because of an undetected abnormal condition. So condition monitoring based on the cigarette quality is necessary for cigarette manufacture equipment. Traditional condition test models include CSTF, CSCF, TSTF, TSCF. In this paper, a new model for condition monitoring of cigarette manufacture equipment is proposed, which is more efficient. The distribution function, expectation of test length, and the probability of state are given by using the finite Markov chain imbedding approach. In order to improve the efficiency of condition monitoring, a process for obtaining the optimal parameters of model is proposed.