Kaikai Gu

Fault diagnosis system based on Dynamic Fault Tree Analysis of power transformer

Firstly, this research paper introduced the process of transformer fault diagnosis and the theory of DFTA and then we attempt to apply DFTA to the field of transformer faults diagnosis. By establishing the fault tree of transformer, a practical, easily-extended, interactive and self-learning enabled fault diagnosis system based on DFTA for transformer is designed and developed. With the implementation and application of the DFTA fault diagnosis system, its relatively easier to get reasonable results from the aggregating computers and experts. The practical results demonstrated that the system can highly improve the accuracy of transformer fault diagnosis and effectively improve the reliability and safety of transformer, which brings more economic benefits in return.

Cooperative maintenance decision system for power plant based on swarm intelligence

Maintenance is one of the important research subjects of the electric power system. In order to realize cooperative maintenance decision, the system framework of multi-knowledge, multi-method, multi-resource, multi-information based on swarm intelligence is constructed, the method of knowledge modeling is studied. Swarm intelligence is a quality that many individuals can behave intelligently through interaction. The individuals are open to each other, sharing the resource information, managing and dispatching are unified with the platform based on knowledge grid, the serving information is offered for different power plants, manufactures and research units. That is beneficial to enhancing the diagnosis and management of the maintenance decision support system, reducing its costs, and improving its efficiency, thus providing a feasible approach for the realization of condition-based maintenance gradually.

Ageing Management System of the Steam Generator of the Nuclear Power Plant

Steam generator (SG) is one of the key important equipments to safety of nuclear power plant (NPP), its reliability is the one vital weakness of nuclear steam supply system (NSSS), so it is necessary for ageing management (AM) to increase its reliability for safety operation. However the SG AM data has not always been readily available, thus the Ageing Management Database of the Steam Generator of nuclear power plant (AMDSG) was developed to integrate decentralized information and provide a valuable data center that the data needed could be easily and quickly retrieved, and can serve as the basis platform for optimizing SG ageing evaluation and management. AMDSG is an online interactive integrated knowledge management system. Some modern information technologies are applied, especially real-time data acquisition and virtual reality technology. It not only contains all equipment condition information and important operation data that are needed based on data warehouse technology, but also provides fundamental online monitoring, analysis, assessment functions and basis data management functions.

Design and development of the encoding software in the identification system of the hydropower plant

With the development of power industry, power plants have been expanding. So in the planning and design, construction and operation stages, there is a wealth of information produced. However, the information management in all power plants are all complex and not standardized, which make the managements work very inconvenient, and that include all system, equipments and etc. In order to achieve the standardization and intelligent management, hydropower industry is placing more importance on the ERP implementation, while the core foundation data of the ERP system are from the device code. On the basis of a comprehensive study of domestic and foreign industrial applications, building the encoding software in the identification system of hydropower plant has been studied and corresponding design and instances of system are given. This paper studies achieves the management of the power plant information code and laid a stable foundation for the implementation of the ERP project.

Dynamic fault tree analysis based fault diagnosis system of power transformer

The process of transformer fault diagnosis and the theory of DFTA are first presented in this paper and then we apply DFTA to the field of transformer faults diagnosis. By establishing the fault tree of transformer, a practical, easily-extended, interactive and self-learning enabled fault diagnosis system based on DFTA for transformer is designed and implemented. With the implementation and application of the DFTA diagnosis system, its easy to get a reasonable result from the computer with the help of experts. The practical results demonstrated that the system can highly improve the accuracy of transformer fault diagnosis and effectively improve the reliability and safety transformer which brings much economic benefits in return.

Aging and Life Management Methods of Pressurizer based on PDCA Cycle in nuclear power station

The Pressurizer is important equipment in PWR nuclear power station. There is only one Pressurizer, which adjust and keep pressure stable, overall the One Loop System. It is very important for safe operation of nuclear power station to keep integrity of Pressurizer. To carry out the work of aging and life management of Pressurizer more effectively and ensure the Pressurizer run safe and stably, this paper does research on Aging and Life Management Methods of Pressurizer. On the basis of PDCA Cycle, this paper realize the management of leading principles to aging management, operation control, checking, monitoring, evaluation and program of lifetime maintenance.

Design and development of J2EE-based identification system for power plants

In recent years, with the rapid development of network and extensive adoption of J2EE platform, multi-layer Web structure based on B/S grows up gradually. Aiming at the intelligent and standardized management of power plant, this paper gives a detailed introduction of the structure and function of the identification system for power plants, as well as designing a database with great flexibility and extensibility and a system based on J2EE design. This system has improved the encoding specification, correctness and efficiency greatly. That is to say, the system, having been put into practice in a power plant in Guangxi, saves time and labor to a great extent.

Research on real-time temperature monitoring system of thermal power

The thermal power system become more complex as it develops to the direction of large-scale. This brings high efficiency as well as brings much hidden risk. Once the failure appears, less leads to the decrease of operating load, more leads to catastrophic shutdown, and even damage the unit equipment. Therefore, the research on the real-time temperature on-line monitoring system for thermal power units (RTOMSTPU) is of vital significance. RTOMSTPU, which is put forward in this paper, bases on the role-based access control (RBAC) model to control different users of business function operation and data information visiting, realizes the aim of the intelligent control for information flow. RTOMSTPU acquires realtime data, and after a serial of comprehensive treatment, generally, accurately and in real time, provides production managers with correct decisions.

Research on life cycle management of nuclear power plant equipment based on economic analysis

Instead of constructing new nuclear power plant, nuclear power has been shifted to expand the lifetime of nuclear power plant according to the condition of safety and reliability around the world. In order to achieve the goal of life extension, it is important for the nuclear power plants to focus on the life cycle management of critical equipment. LEA (Life Economic Analysis), the core work of life cycle management, is an analysis strategy to improve the usability of critical equipment and achieve the maximization of life value and long period of revenue through optimizing decision-making process of critical equipment. In this paper, a calculation method of the equipment failure rate based on the three-parameter Weibull distribution model is given. Ensuring the premise of reliability and safety, the economic analysis of the model is proposed to optimize the cost. Finally, based on the model of economic analysis, the paper takes an equipment of 60-year life cycle management as an example to verify the feasibility of the economic analysis model.