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To adapt the model in reconfiguring fault diagnosing to dynamic environment and the needs of solving the tasks of complex system fully, the paper introduced multi-Agent and related technology to the complicated fault diagnosis, an integrated intelligent control system is studied in this paper.
It instantly brings confidence problems on health monitoring and fault diagnosing for the control loop.
(3) An approach of dividing a power supply arm into several segments and then applying synchronous measurement and control technique to ensure quick and accurate fault locating and fault diagnosing is proposed.
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The importance of fault diagnoses, in any kind of machinery, can't be over stated.
This paper presents a condition based fault diagnoses technique to detect the condition of gear.
However, analyzing too many sidebands will create problems and uncertainty of fault diagnoses.
The proposed fault diagnose technique involves a statistics, the mean of which becomes non-zero when a fault occurs.
It is evident that microwave tomography has clear advantages over single point based measurement technology for process fault diagnose.
With the help of MLP Artificial Neural Network it is possible to predict the speed and oil level of the gearbox and hence a possible fault diagnoses is also feasible.
The method is not affected by the type of load and other asymmetries and it is capable of providing reliable fault diagnose without maintenance specialist intervention.
The real world application shows that the proposed control structure successfully solves the fault diagnose problem of the complex plant, and the special advantage in the distributed domain.
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