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A model-based method for an online diagnostic knowledge-based system
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DOI：10.1111/1468-0394.00167.png)
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Abstract
En 中文
Fault diagnosis is very important for modern production technology and has received increasing theoretical and practical attention during the last few years. This paper presents a model-based diagnostic method for industrial systems. An online, real-time, deep knowledge based fault detection system has been developed by combining different development environments and tools. The system diagnoses, predicts and compensates faults by coupling symbolic and numerical data in a new environment suitable for the interaction of different sources of knowledge and has been successfully implemented and tested on a real hydraulic system.
Keywords:
expert systems
model based fault diagnosis
fault prediction
real time process
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