Implementation of Web-Based Fault Diagnosis Using Improved Fuzzy Petri Nets

According to the current application and maintenance situation of numerical control equipment (NCE), a novel remote fault diagnosis expert system is designed to prevent fault occurrence and quicken the recovering process by online real-time monitoring the working state of NCEs. The article addresses the overall framework and relevant application technology of fault diagnosis system (FDS) and emphasizes on the establishment of fuzzy expert system (FES). Improved fuzzy Petri nets (FPNs) model and concurrent reasoning algorithm are applied to handle the fuzziness and concurrency of fault and inadequate and uncertain information. Utilization of simple matrix operation to realize complicated reasoning process that simplifies the diagnostic reasoning decision-making process. Meanwhile, it can be realized easily by computer programming. Finally, a practical fault instance is presented to demonstrate the feasibility and validity of this method.