Printing Machine Fault Diagnosis Expert System Research And Development

With the development of computer technology and the application of intelligence technology, fault diagnosis technology has got into a new period, the period of intelligence diagnosis. This is a diagnosis method based on expert knowledge and artificial intelligence, which is especially efficient for the diagnosis of large complex system.The comprehensive application of modern science and technology makes printing machine becoming more and more efficient and complex. This as well as the high requirement of typography and the large variable factors of paper and printing ink makes the printing machine having many fault causes, accordingly fault diagnosis becomes more and more difficult. At present, the maintenance personnel at the printing industry mainly depend on their perception and personal experiences to carry on printing machine fault diagnosis. Sometimes it will spend their several days to remove a fault. This fully indicates that the fault diagnosis technology used in the printing industry is far from meeting the requirement of modern printing.The fault diagnosis expert system using the artificial intelligence technology is the progressing tiend of equipment fault diagnosis, however, as typography being so complex, there are still many uncertain and incomprehensive factors that hide the establishing of expert system. So far, there is still no report of Printing Machine Fault Diagnosis Expert System (PMFDES). Based on the actual conditions of printing machine, the author develops the preliminary PMFDES system through synthesizing many advanced fault diagnosis theories by drawing lessons from successful experiences of expert systems in other industries. The main works done in this paper are:1.Based on consulting a lot of material and printing machine maintenance experts, this author induces and summarizes several common printing faults and their removing methods.2.The author establishes the Fault Trees of several common printing machine faults by the Fault Tree Analysis (FTA), and carries on analysis accordingly.3.The author inquires into the Fuzzy Diagnosis theory * four Fuzzy Operator and two Diagnosis Pnnciple, then studies how to use the Fuzzy theory diagnosing printing machine faults.4.The author introduces the basic theory of Neural Network, inquires into the Forward Multi-layer Neural Network and the realization of Back Propagation (BP) algorithm, then studies how to use the Neural Network Theory diagnosing printingmachine faults.5.The author induces and summarizes the characteristics and advantages as well as disadvantages af Fuzzy theory and Neural Network technology, then inquires into the Fuzzy Neural Network theory, studies the learning algorithm of Max-Multiply Fuzzy Associative Memories Network and how to use it diagnosing printing machine faults.6.After discussing the artificial diagnosis methods based on numerical computing, the author then inquires into the artificial diagnosis method from another point of view to diagnosis printing machine fault. The author introduces the Production rule and Fuzzy Petri Net, inquires into how to representing the Production rule with the Fuzzy Petri Net, studies the reasoning algorithm and how to use the Fuzzy Petri Net diagnosing printing machine faults.7.On the basis of research mentioned above, to counter the repository maintenance disadvantage of traditional expert system, the author uses the Visual C++ programming language to develop the PMFDES system combining with the Database. The system has a friendly interface. It is easy to handle and robust as well as efficient, at the same time, it is powerful and expansible as well as open.