Fault Diagnosis Expert System for Generators in Shanghai Waigaoqiao Power Plant

Difficult to achieve, it is still in the stage of theoretical research and demonstration.

According to the existing monitoring methods and technical conditions of Waiqiao Power Plant, the developed fault diagnosis expert system will be referred to as the following system. It can diagnose 106 types of faults that may occur in the generator and its hydrogen oil and water system, and develops fault diagnosis methods. Trend treatment methods and preventive measures give relevant expert advice. The expert system diagnosis is based on a total of 273 monitoring variables including online real-time online non-real-time and off-line data. The inference mechanism of forward and reverse hybrid reasoning is adopted. The knowledge method based on production knowledge rules contains a total of 1.655 million knowledge bases. More than one rule, set on-line real-time online non-real-time and off-line data collection and analysis status monitoring fault diagnosis fault processing in the body of multi-task multi-client multi-information processing fault diagnosis expert system.

The main purpose of generator fault diagnosis is to identify the status of the generator based on various monitoring data of generators and other diagnostic information such as test inspections. Early detection of faults and timely adoption of effective measures shall be implemented to prevent any On the basis of reliable operation of the generator, reasonable maintenance can be achieved.

The physical model of this system is the supervision and analysis of accidents in China's nearly 2, 3 to 100, Jia and above capacity generators and preventive measures and supervision of generator manufacturing quality.

On the basis of analysis and research, refer to relevant domestic and foreign data, use the knowledge of many disciplines such as generator operation and maintenance test design structure and manufacturing process, and refer to the national standard industry standards and related regulations of generators. The consequences and prevention measures of threats have been analyzed in depth. At the same time, the coupling of multi-factor and multi-type faults, the master-slave relationship between faults, and possible concurrency have been considered. The nine major generators including hydrogen generators and hydrogen oil systems have been realized. Part of the possible 6 kinds of fault diagnosis. In the process of implementation, the following effective measures are taken for the characteristics of the generator fault and the difficulties in the diagnosis process so that the contents of the physical model can be fully realized.

1.1 comprehensive analysis of a variety of fault precursor production practices, generator fault has a gradual nature.

In the past, there were long-standing failures behind the unexpected accidents. There was even a long development process. Therefore, the early diagnosis of generator faults must be combined with the failure precursors of on-line real-time monitoring, on-line non-real-time monitoring of failure precursors obtained from diagnostic information such as off-line test inspections. In the reasoning mechanism of this system, in addition to the online real-time precursors and the online non-real-time precursors as the primary aura inference processes, the early precursors of the auras are taken into account as the primary precursors of the offline precursors. Aura diagnosis method.

1.2 The combination of online and offline diagnosis methods Because the structure of the generator is more complex and subject to the limitations of the existing monitoring methods, for certain faults, only on-line real-time and online non-real-time precursors can be used to obtain phased diagnosis results. The final conclusion of the diagnosis can only be obtained by combining the off-line precursors obtained through the test inspection after the shutdown. It can also be said that the generator fault has a certain degree of concealment in some cases. Based on this, the system adopts two methods of online and offline diagnostics mutually inheriting each other to inspire the comprehensive diagnosis of the fault. According to the online precursors, including online real-time and online non-real-time precursors, the current diagnostic status of the current state of the generator is drawn, and expert advice is given on the implementation of operational measures to strengthen monitoring and prevent failures from progressing; Test the protocol and make a final diagnosis based on the resulting aura, and vice versa.

1.3 Multi-entry multidimensional mesh structure is used to realize the reasoning process In actual production, the occurrence and development process of generator faults is uncertain. For the same kind of faults, the first occurring primary anomalies may be different, and the process aura appears. The order is also different. In addition, there is not a corresponding simple relationship between the fault and the precursor, a combination of precursors or threats, it is possible to predict the existence of multiple faults, the existence of a fault, there may be more than one precursor or multiple precursor combinations, which is a generator The complexity of the fault. These two characteristics all bring great difficulties to the reasoning and diagnosis of the expert system, and it is easy to cause missed or misjudged judgments. In response to this question, the system uses multi-entry multi-dimensional mesh structure to realize the self-adaptive network-resolving function in the inference process in terms of fault inference analysis and judgment, so that the system has the human expert to solve the actual question when faced with different situations. ability.

1.4 Proposes the concept of multistage faults and failure class precursors, resolves faults. Some generator faults and failures have evoked and compliance. The physical description of these fault occurrence and development laws depends only on the relationship between precursory precursor combinations or combinations of faults and precursory precursors. It is not sufficient to study the relationship between faults. In order to solve this problem, it is integrated into the reasoning and diagnosis process so that this difficulty is solved.

1.5 Solving the Concurrency of Failures The generator sometimes encounters simultaneous failures of two or more types of failures, that is, generator failures have concurrency, which can easily lead to missed judgments.

To this end, the system uses knowledge rule algorithms or expert advice to achieve correct diagnosis of concurrency failures.

1.6 The concept of an aura of accidents is proposed to solve external causes. Sometimes generators are caused to cause accidents due to external factors. For example, the generator is short-circuited by two-phase short-circuits externally or caused by switch failures and causes other failures. To this end, the system proposes the concept of an aura of accidents and operates it as a primary avant-garde trigger inference engine to detect hidden dangers early to avoid the occurrence of induced failures, and to diagnose and propose the status of the generators after the accident. And preventive measures.

1.7 Combining the actual and scientifically determined precursors of the threshold of failure is the diagnostic basis of the expert system. Therefore, the precursor threshold in the precursor threshold value system is based on national standards and industry standards. Manufacturers' regulations on products and other relevant regulations and domestic In recent years, the relevant experience has been finalized after careful consideration, and meets the actual needs of the site.

2.1 The generator fault diagnosis expert system software function can diagnose 106 kinds of faults that may occur in the generator of hydrogen and hydrogen cooling mode and its hydrogen oil and water system, and provide related solutions to the development methods and preventive measures of fault diagnosis methods. Expert advice. Faced with the difficult practical application field of generator fault diagnosis, through the influencing rules of a massive amount of more than 1.65 million pieces, the field knowledge of the generator maintenance operation test design structure and manufacturing processes are particularly relevant to domain experts. The decades of practical experience and theoretical foundation as well as advanced experience at home and abroad are applied to practical solutions.

Multi-data source online offline integrated diagnostics.

According to the actual situation of Waigaoqiao Power Plant, the data sources used by this system are online real-time data online and non-real-time data offline data. The system can collect and process data in real time online to obtain aura; obtain online non-real-time data without entering the data acquisition system 0 person 3 through man-machine conversation, obtain aura through manual monitoring and judgment, and also pass test data and inspection results, etc. Offline data gains aura. The use of multiple data sources and online diagnosis of off-line diagnosis mutual succession of mutual enlightenment diagnostic purposes ... 3 fault classification processing functions. In order to enable users to distinguish between priorities when dealing with failures, this system classifies and classifies failures.

According to the relevant regulations and operating experience, generator faults are classified into four levels according to severity, and must be immediately shut down for processing. The first level should immediately reduce the load for the second level. The leader should report the reduction of load to the level three-level failure. For level 4. When a 123-level fault occurs, different alarm sounds and flickering of the screen image are issued in accordance with the low level of the fault to alert the user. If there are 2 or more trending features. To help users monitor generator status and analyze fault development trend at any time, the system provides generator stator winding temperature generator bar stator cold water outlet temperature generator lead line bushing temperature generator stator cold water inlet pipe inlet and outlet temperature hydrogen pressure hydrogen purity The temperature of the fault bar and the temperature of the corresponding bar cooling water outlet temperature fault bushings, etc., need to observe the trend of the monitored quantity of the trend of change. At the same time, it also provided the bar of the position of the failure bar and the position of the failure bar of the failure bar, so that the user can clearly see the location of the fault.

Early warning function. This system is! The multi-client expert system, in order to prevent the user from missing information about the generator fault when not logged in to the system, when the expert system detects the failure of the generator, the warning system sends an audible alarm to all the clients and raises the user login failure. Diagnostic expert system for viewing and processing.

Fault recovery function. The system has a fault record function that classifies faults according to the time operation personnel, and can record the entire process of inference diagnosis and user processing faults in detail, and provides a report printing function with a Jia style for the result of the recovery, so that the user can regularly summarize the fault diagnosis processing. Methods, Learning Success Experiences Learn Lessons from Failures in Troubleshooting...7 Inquiries. This system has carried on the detailed classification processing to the historical data of the process data, provided 7 kinds of classified inquiries the function, and provided to the user's query result has the double like 5 styles of newspaper reasoning backtracking function. In order to avoid the user's negligence, mistakes in the answer to the man-machine session and lead to wrong diagnosis results, the inference engine of this system has a backtracking function to provide the user with the opportunity to modify mistakes.

The identification of the working state of the sensor. Among them, the species is the automatic recognition function of the expert system, which can automatically determine whether the sensor is working properly by checking the sensor data; the other is the expert system to provide the user to determine whether the working condition is correct or not, and check the relevant meter, if it is confirmed to be a sensor Failure, the user can submit this information to the expert system. When the expert system recognizes and confirms that a sensor is not working properly, the monitoring amount will be masked and will no longer be involved in the diagnostic reasoning process until the normal state is restored.

Explain the function. In the course of diagnosis and reasoning, in addition to the current premonitory and diagnostic results, the window of diagnosis in the form also explains how to obtain the knowledge of this diagnosis. In addition, in the expert advice column, it also diagnoses how the current state of the generator progresses. When the final diagnosis result has not yet been reached, the measures that should be taken during the operation. The treatment methods for the failures. The preventive measures that have resulted in the final diagnosis are made. Detailed explanation.

Online help function. The system has a detailed online help function with 3, styles.

2.2 System Network Structure Design The Waigaoqiao Power Plant has now built an information management system touch 15 and data acquisition system 0 people 3, the system directly uses the existing network structure of the power plant for diagnosis. The pre-processing and inference engine of the system runs on the database server, and the post-processing, that is, the client program runs on the workstation terminals in the power plant 15 .

2.3 System function module This system adopts the hierarchical structure of the layer, its overall structure 2, on the whole, the big module divides into the postprocessing and post-processing and management module of the preprocessing inference engine. The interface between each module adopts the form of data interface.

Every expert system is faced with knowledge update. Therefore, programming must be considered to facilitate the updating of knowledge.

The operating conditions of generators are relatively complicated, and the correct understanding of the development rules and processing methods of the causes of failures is a long-term accumulation and constantly updating process from theoretical practice to practice theory. Especially with the development of high technology, As the capacity of generators increases rapidly, the manufacturing process of design materials is increasingly improved, and monitoring methods are gradually improving, fault diagnosis methods should also be continuously updated.

The number of data interfaces is stable, and you have found some early and early failures that are not easily detected during operation. They have been dealt with promptly and are well received by the relevant personnel at all levels of the power plant.

The generator fault diagnosis expert system is a software project applied to actual production. Based on the requirements of the power plant, the software function is designed, combined with the existing technical monitoring conditions of the power plant, and the realization is achieved without adding any hardware facilities. The diagnostic functions of the 106 types of faults that may occur in the generator are comprehensive and of great practical value.

The front of the capital system Mi is Qiu Xianzhao. For this reason, the system has set up fault recovery and query functions, providing third-hand information for accumulating actual experience. The editor and adaptive solution of expert system knowledge base are knowledge rules and reasoning. The expansion of the machine creates convenient conditions.

This system was put into trial operation at No. 2 generator of Waigaoqiao Power Plant in December 2000. During operation, the server program runs on a database server connected to the elbow 13 network of the power plant. It collects online real-time monitoring data directly from the elbow 15, and the client is installed in a main control room, with several power generation units, several maintenance departments, and power plant levels. There are several managers. The operating results show that the generator fault diagnosis system is in good condition. The 2001 academic annual meeting of the power system special committee jointly sponsored by the Electric Power System Committee of the China Electrical Engineering Society and the Fujian Provincial Electric Power Bureau was held in Xiamen on September 2528. boil. More than 80 experts and scholars participated in technical exchanges and conducted technical consultation on the development of the power system in Fujian Province. More than 40 papers were presented at the conference.

The meeting was supported by many old leaders and experts in the power industry. The member units were active and enthusiastic. In addition to pure academic exchanges, they also consulted on the specific issues of the development of the Fujian power grid and put forward many valuable ideas. Out of the road to innovation that combines the development of science with practice.

The meeting concluded that 1 according to the development of China's power industry, the power grid should still maintain a constant growth rate, the scale of the power grid and Jiang Jianguo, Shi Jiayan. The condition of the motor monitors the elbow. Beijing Water Power Press, Liu Yaxiong. Research on expert evaluation system for generator operation status Beijing Electric Power Research Institute, 1997.

Cheng Daolai, Wu Yi, Lu Tingyan, et al. The status quo and development direction of domestic power plant fault diagnosis system 1 Power Engineering, 1999,1.

Zhou Keyi, Shao Aiju, and Ge Cong. Foreign Power Plant Performance Monitoring and Diagnosis Overview 1.

Huang Shuhong. Thermal power plant equipment status overhaul condition maintenance system and development status

Li Bo's technical level should be maintained at a high speed. The development of the power market and the promotion of power grid interconnection should be based on the improvement of economic efficiency. 2 In order to do a good job in the interconnection of the national power grid, attention should be paid to the mid-to-long-term planning of the power system. The planning should have a sense of advancement. Starting from the overall situation of the large-scale system, sensitivity analysis should be conducted to understand that a reasonable power grid structure is the basis for the safety and stability of the power system. 3 Select the principle of unified planning and scheduling based on the scale and model of China's power market development. 4 The questioning of some networked systems should be based on a thorough analysis to study its mechanism and improve it. 5 There are still some questions about current network analysis simulation methods such as load models that should be improved.

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