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Research on Knowledge-based Method for Satellite Fault Diagnosis and Prediction
Yang Tianshe,Yang Kaizhong,Li Huaizu
Strategic Study of CAE 2003, Volume 5, Issue 6, Pages 63-67
The fault diagnosis and prediction of satellites is a difficult problem due to the complex structure and the unique of operating environment of satellites as well as the presence of multi-source of satellite faults. Usually, one kind of reasoning model can only diagnose and predict one kind of satellite faults. This paper proposes a new method in which the use of multi-modal reasoning for satellite fault diagnosis and prediction is concerned. The method has been used in the development of the knowledge-based satellite fault diagnosis and recovery system and good results have been achieved.
Keywords： satellite fault diagnosis prediction multi-modal reasoning
Study of Dynamic Fuzzy Inference Mechanism of Fault Diagnosis Expert System for Production Line
Tan Li,Liu Jin,Mei Liting
Strategic Study of CAE 2005, Volume 7, Issue 6, Pages 57-60
Developing fault diagnosis expert system for production line, the principle and method of structuring fuzzy inference engine are presented in this paper. Moreover, the idea of dynamic fuzzy relation with real time is introduced. And, it is illustrated that this idea is realized by defining a dynamic membership function changing with non-fault-time.
Keywords： fault diagnosis expert system fuzzy inference
Dai Shuhe
Strategic Study of CAE 1999, Volume 1, Issue 3, Pages 63-68
The universe of methodology for predicting the damage to structural materials and remaining life of process equipment is a branch of subject of a newly developing discipline - FORECASTING. The technique for predicting the damage to structural materials and remaining life of process equipment based on the use of experience of multi-discipline is a comprehensive technology in the field of modern technical management of facilities. Some contents of this technique have been selected among the subjects of emerging technologies to be developed over this century.
In this study, a series of new techniques for predicting the damage to structural materials and remaining life of porcess equipment have been developed, which are based on principles of approximate and plausible reasonings for uncertain parameters of fuzziness by fuzzy set theory; of quantitative metallographic technique by methods of stereoscopy and visual treatment technique.The technique proposed is of great significances for ensuring safe, high efficiency and long period operations in modernized large-scale and high parameter facilities of chemical, petrochemical, nuclear and electric power plants.
The main contributions of the technique proposed in this work are on engineering applications which provide major benefits in economics and society. The technique will be a bright future in use.
Keywords： damage to structural materials life prediction process equipment
Dynamic Power Management for I/O Devices Under Multi-task Environment
Qi Longning,Zhang Zhe,Huang Shaomin
Strategic Study of CAE 2008, Volume 10, Issue 2, Pages 60-65
More embedded system designers pay attention to how to reduce the po wer consumption of I/O devices. Traditional dynamic power management (DPM) polic ies only focus on the device requests, and neglect the application features behi nd the workload. Because of the assumption about the stationary workload, tradit ional DPM policies can not reach their expected goal under the multi-task envir o nment. The paper presents a stack-based predictive timeout strategy (SBPT). It c an predict the access pattern of the device I/O operations by analyzing the ca lling and stack information of tasks and combine predictions of multiple tasks to form the global prediction according to the multiple-service-requester mode l. At last, classify the I/O request by the global prediction and then make the de cision with the timeout technique based on the distribution of the grouped reque sts. An evaluation study of SBPT using the trace-driven simulation is performed. The results show that SBPT can adapt the non-stationary multi-task environment and reduces power consumption more efficiently than other policies.
Keywords： DPM predictive timeout stack multiple service requesters
A Real-time Monitoring Network and Fault Diagnosis Expert System for Compressors and Pumps
Gao Jinji
Strategic Study of CAE 2001, Volume 3, Issue 9, Pages 41-47
Using modern information technology and artificial intelligence to achieve the condition based maintenance and predictive maintenance is one of the important ways to reduce the production cost in the process industries. The real-time monitoring network and artificial intelligent diagnosis technology for mechanical-electric plant was outlined in this paper. The Ethernet and FDDI based real-time monitoring network developed for compressors and pumps in petrochemical plants was introduced briefly. The black-gray-white gathering diagnosis method was given for the first time on the bases of approach to fault mechanism and distinctive symptoms. The mechanical fault diagnosis expert system based on black-gray-white gathering distinguishing sieve method developed in this work yields satisfactory results in the engineering practice.
Keywords： plant diagnosis engineering real-time monitoring network artificial intelligent diagnosis first reason analysis method black-gray-white gathering sieving method
A Fault Location Approach for the Testable Realization of Logic Functions
Pan Zhongliang
Strategic Study of CAE 2002, Volume 4, Issue 1, Pages 69-74
An approach of design for testability(DFT) for logic functions is presented in the paper, which employs AND gates and XOR gates tree to realize the generalized Reed-Muller expression of arbitrary logic functions. The major features of the approach are： 1) The circuits adopting the DPT techniques in the paper are totally fault locatable. 2) The circuits have universal test sets for fault detection, the cardinality of the test sets is (n + 5), where n is equal to the number of input variables in the logic function. A fault location method for the circuits is presented, which can identify all fault equivalence classes in the AND gates, and the faults in XOR gate tree in the circuits.
Keywords： logic functions Reed-Muller expressions design for testability single stuck at fault faults location
Prognostics and Health Management of High-Speed Trains in China: Progress and Prospect
Wang Jun, Ding Rongjun
Strategic Study of CAE 2023, Volume 25, Issue 2, Pages 232-242 doi: 10.15302/J-SSCAE-2023.02.019
Higher requirements have been imposed for the safety and economical operation and maintenance (O&M) of high-speed trains as a result of increasing operating speed, number of train sets in service, and vehicle types as well as complex service conditions such as long routing and multi-physics coupling. The research and application of prognostics and health management (PHM) technology in the field of high-speed trains provides important technical support for the steady operation of China’s high-speed trains over long distance, on large scale, and in high density. This study presents the significance of PHM for high-speed trains and reviews the development process of high-speed train PHM in China, which has evolved from the initial safety monitoring to breakthroughs in health monitoring technologies of key systems and then the current integrated lifecycle O&M management in the past two decades. It further summarizes the major technical breakthroughs in four aspects, namely, comprehensive train condition monitoring, accurate assessment and diagnosis prediction, vehicle remote O&M services, and intelligent O&M decision support. In the face of the future challenges of efficient and safe O&M, substantial cost reduction, and consumption reduction of China’s high-speed trains, suggestions are proposed in the following aspects: wide-area and entire-process adaptability, centralized management and application of train data and computing resources, train design based on PHM, and train–line–station integrated intelligent O&M, so as to promote China’s high-speed train technology to maintain a lead.
Keywords： high-speed train prognostics and health management fault diagnosis and prediction intelligent operation and management train–line–station integration
Mahmoud MODARESI, Hamid LESANI
Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 2, Pages 297-307 doi: 10.1631/FITEE.1601689
Keywords： Fault current limiter (FCL) FCL impedance Short circuit current Fault current Power system
Vibration Fault Diagnosis for Large Scale Steam Turbine Sets
Yu Wenhu,Song bin
Strategic Study of CAE 2001, Volume 3, Issue 1, Pages 44-50
This paper describes the development of vibration fault diagnosis for steam turbines being used in power plant. The problems of vibration fault diagnosis research work are also pointed out. Importance to knowledge scope of diagnosis and the research of the amplitude and phase transfer characteristic are put forward. System of performance and vibration remote monitoring and diagnosis for large-scale steam turbine sets is introduced. Finally, this paper presents the develop trends of vibration fault diagnosis for steam turbines
Keywords： steam turbine sets fault diagnosis vibration performance diagnosis
Research on the Fault Self-recovery Principle of Equipment System
Gao Jinji
Strategic Study of CAE 2005, Volume 7, Issue 5, Pages 43-48
Can mechanical faults be controlled and eliminated at machine's run-time? Can a machine heal itself, as a living person or animal? What can be done before shutting down and overhauling a machine? Under the guidance of the systemics theory，borrowing the idea of “self-recuperation” therapeutic methdology in modern medicinal science, e.g.，the knowledge about the mechanisms of immunity, protection, compensation, regeneration, adaptation, etc., with the fault prevention and self-healing as the goal, this paper focuses on the study of the fault self-recovery principle and its engineering application, i.e. Fault Self-recovery Engineering (FSE), which can provide theoretical basis in developing a new generation of self-healing machine.
Keywords： equipment system principle of fault self-recovery fault self-recovery regulation diagnosis active control
Santiago RUIZ-ARENAS, Zoltán RUSÁK, Imre HORVÁTH, Ricardo MEJÍ-GUTIERREZ
Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 2, Pages 152-175 doi: 10.1631/FITEE.1700277
Malfunction or breakdown of certain mission critical systems (MCSs) may cause losses of life, damage the environments, and/or lead to high costs. Therefore, recognition of emerging failures and preventive maintenance are essential for reliable operation of MCSs. There is a practical approach for identifying and forecasting failures based on the indicators obtained from real life processes. We aim to develop means for performing active failure diagnosis and forecasting based on monitoring statistical changes of generic signal features in the specific operation modes of the system. In this paper, we present a new approach for identifying emerging failures based on their manifestations in system signals. Our approach benefits from the dynamic management of the system operation modes and from simultaneous processing and characterization of multiple heterogeneous signal sources. It improves the reliability of failure diagnosis and forecasting by investigating system performance in various operation modes, includes reasoning about failures and forming of failures using a failure indicator matrix which is composed of statistical deviation of signal characteristics between normal and failed operations, and implements a failure indicator concept that can be used as a plug and play failure diagnosis and failure forecasting feature of cyber-physical systems. We demonstrate that our method can automate failure diagnosis in the MCSs and lend the MCSs to the development of decision support systems for preventive maintenance.
Keywords： Failure indicators Failure classification Failure detection and diagnosis Complex systems
Development Path of Offshore Drilling Equipment in China
Liu Jian
Strategic Study of CAE 2020, Volume 22, Issue 6, Pages 40-48 doi: 10.15302/J-SSCAE-2020.06.006
China has made achievements in offshore drilling equipment, and it can now develop the shallow-water drilling rigs independently. However, as far as deep-water drilling equipment is concerned, there still exists a big gap between China and the international advanced level, which inevitably hinders the deep-water oilfield development in the country. To accelerate the development of China’s offshore drilling equipment, this study first analyzes the development status of the equipment in China and abroad from three aspects: shallow-water drilling machine, deep-water drilling machine, and new-type marine drilling machine; it then summarizes the development status in China and the gap between China and the international advanced level. Subsequently, it studies the key technologies for realizing the localization of the deep-water drilling equipment, and proposes corresponding countermeasures and suggestions. We propose that China should focus its efforts on making breakthroughs in the design, materials, technology, inspection, and sea test of the deep-water drilling rigs. To clarify the development path of the offshore drilling equipment, China should establish and improve the standards and specifications regarding offshore drilling rigs; develop different types of deep-water drilling equipment at different stages and by different levels; establish an integrated testing platform and a sea test base; strengthen inter-industry cooperation; develop this sector in an innovation-driven mode; and promote diversified, serial, automated, and intelligent development.
Keywords： offshore drilling rig deep-water drilling rig development of equipment test sea test
Application of Uncertainty Reasoning Theory to Satellite Fault Detection and Diagnosis
Yang Tianshe,Li Huaizu,Cao Yuping
Strategic Study of CAE 2003, Volume 5, Issue 2, Pages 68-74
Generally, reasoning theory can be divided into certainty reasoning theory and uncertainty reasoning theory. Traditionally, certainty reasoning theory is used to detect and diagnose satellite faults. However, in practice, it is difficult to detect and diagnose some satellite faults automatically only by use of certainty reasoning theory. The reason is that detection and diagnosis of these faults requires reasonable reasoning and fault-tolerant capability, but certainty reasoning theory can not realize the capability. Fortunately, uncertainty reasoning theory can meet this requirement. Now, it is attracting attention of many researchers and practitioners in the space field all over the world that uncertainty reasoning theory is applied to detect and diagnose the satellite faults which can not be handled properly by certainty reasoning theory. Uncertainty reasoning theory includes several kinds of theories, such as inclusion degree theory, rough set theory, evidence reasoning theory, probabilistic reasoning theory, fuzzy reasoning theory, and so on. This paper introduces three new methods to detect and diagnose the satellite faults, in which inclusion degree theory, rough set theory and evidence reasoning theory of the uncertainty reasoning theory are used respectively.
Keywords： satellite fault detection diagnosis uncertainty reasoning theory
Adel KHOSRAVI,Yousef SEIFI KAVIAN
Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 9, Pages 885-896 doi: 10.1631/FITEE.1500176
Keywords： Fault diagnosis Decision making Byzantine agreement Distributed wireless networks Consensus
Title Author Date Type Operation
Hua Zhongsheng: Important Equipment Fault Prediction Method Based on Personalized Dynamic Degradation Characteristics (2019-12-22)
华中生(高级职称)
20 Jan 2021
Conference Videos
Research on Knowledge-based Method for Satellite Fault Diagnosis and Prediction
Yang Tianshe,Yang Kaizhong,Li Huaizu
Journal Article
Study of Dynamic Fuzzy Inference Mechanism of Fault Diagnosis Expert System for Production Line
Tan Li,Liu Jin,Mei Liting
Journal Article
A Study on Methodology for Predicting the Damage to Structural Materials and Remaining Life of Process Equipment
Dai Shuhe
Journal Article
Dynamic Power Management for I/O Devices Under Multi-task Environment
Qi Longning,Zhang Zhe,Huang Shaomin
Journal Article
A Real-time Monitoring Network and Fault Diagnosis Expert System for Compressors and Pumps
Gao Jinji
Journal Article
A Fault Location Approach for the Testable Realization of Logic Functions
Pan Zhongliang
Journal Article
Prognostics and Health Management of High-Speed Trains in China: Progress and Prospect
Wang Jun, Ding Rongjun
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New method to determine optimum impedance of fault current limiters for symmetrical and/or asymmetrical faults in power systems
Mahmoud MODARESI, Hamid LESANI
Journal Article
Systematic exploration of signal-based indicators for failure diagnosis in the context of cyber-physical systems
Santiago RUIZ-ARENAS, Zoltán RUSÁK, Imre HORVÁTH, Ricardo MEJÍ-GUTIERREZ
Journal Article
Application of Uncertainty Reasoning Theory to Satellite Fault Detection and Diagnosis
Yang Tianshe,Li Huaizu,Cao Yuping
Journal Article
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