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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
利用对称结构和结合差分进化的文化算法检测阵列中的故障传感器 Article
Shafqat Ullah KHAN,Ijaz Mansoor QURESHI,Fawad ZAMAN,Wasim KHAN
Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 2, Pages 235-245 doi: 10.1631/FITEE.1500315
Keywords： 文化算法；差分进化；线性对称传感器阵列
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
Motor speed estimation and failure detection of a small UAV using density of maxima Research Articles
Jefferson S. Souza, Moises C. Bezerril, Mateus A. Silva, Frank C. Veras, Abel Lima-Filho, Jorge Gabriel Ramos, Alisson V. Brito,alissonbrito@ci.ufpb.br
Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 7, Pages 1002-1009 doi: 10.1631/FITEE.2000149
Keywords： 无人机；速度识别；故障检测；混沌
The On-line Fault Detection of the Wheelset Bearing Based
Huang Cailun ,Yu Xiaohua ,Chen Anhua ,Zhang Jian
Strategic Study of CAE 2007, Volume 9, Issue 7, Pages 61-64
The fault of wheelset bearing is one of the most important factors which is deangerous to the satfy of the train running. And the key problem that should be solved firstly is the accur ate measurement method for the high speed heavy haul locomotive. Since there are some discontinuity points in the amplitude of the vibration signals when the wheelset bearing is abnormal, a method for analyzing the vibration acceleration signals which come from the wheelset bearing by using the spectrum zoom is prsented. The experiments indicate that the abnormity of wheelset bearing high-accuracy detection can be realized by using this method, and this method can detect the abnormity effectively compared to the commonly used methods.
Keywords： wheelset bearing spectrum zoom abnormity detection
Active fault-tolerant tracking control of a quadrotorwith model uncertainties and actuator faults None
Yu-jiang ZHONG, Zhi-xiang LIU, You-min ZHANG, Wei ZHANG, Jun-yi ZUO
Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 1, Pages 95-106 doi: 10.1631/FITEE.1800570
This paper presents a reliable active fault-tolerant tracking control system (AFTTCS) for actuator faults in a quadrotor unmanned aerial vehicle (QUAV). The proposed AFTTCS is designed based on a well-known model reference adaptive control (MRAC) framework that guarantees the global asymptotic stability of a QUAV system. To mitigate the negative impacts of model uncertainties and enhance system robustness, a radial basis function neural network is incorporated into the MRAC scheme for adaptively identifying the model uncertainties online and modifying the reference model. Meanwhile, actuator dynamics are considered to avoid undesirable performance degradation. Furthermore, a fault detection and diagnosis estimator is constructed to diagnose lossof-control-effectiveness faults in actuators. Based on the fault information, a fault compensation term is added to the control law to compensate for the adverse effects of actuator faults. Simulation results show that the proposed AFTTCS enables the QUAV to track the desired reference commands in the absence/presence of actuator faults with satisfactory performance.
Keywords： Model reference adaptive control Neural network Quadrotor Fault-tolerant control Fault detection and diagnosis
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
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
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
He Zhengjia,Sun Hailiang,Zi Yanyang
Strategic Study of CAE 2011, Volume 13, Issue 10, Pages 83-92
The faults initiated in operation (i.e. incipient fault) with the obscure symptoms and weak features, are always contaminated by a large amount of background noise. Hence, fault diagnosis and prognosis of incipient faults have been the difficulty and focus of the research field. The paper studied the principle of inner product transform of dynamic signals and basis functions, proposed several construction methods of adaptive multiwavelet basis functions,and improved several multiwavelet denoising methods with neighborhood and local threshold. The typical engineering cases of the equipment of heavy oil catalytic cracking, the continuous casting and rolling mills, the air compressor, the electric locomotive and the transmission device of satellite comunication on ship were studied, and the results showed the effectiveness of enhancement of weak dynamic signals and features extraction of compound faults.
Keywords： mechanical fault diagnosis principle of inner product transform adaptive basis function multiwavelet denoising fault feature extraction
Sonic General Non-destructive Testing Technique
Chen Jimao
Strategic Study of CAE 2000, Volume 2, Issue 4, Pages 64-69
This paper describes new general multi-mode non-destructive testing (NDT) of composite materials and bonded structures for detecting discontinuities (defects) , the only multi-mode one of its kinds. This technique which is based on sonic and ultrasonic testing performs five different modes of testing to detect disbond, unbond, delamination, porosity, crushed core and other defects in composite materials and bonded structures. It equally suits for applications in manufacturing, maintenance and repair of composite materials and structures which almost include them in common use now availability. Good repeatability and reliability have been found. This paper discusses the principles of the five sonic mode constitute multi-mode sonic general bondtester and demostrates the vast range of propect for general NDT from our and our internal and external comrades* much practical experinence.
Keywords： sonic general testing general non-destructive testing (NDT) non-destructive testing of composite materials mechanical impedance analysis (MIA) vibration analysis (VA) resonance testing
System management and typical fault analysis of large diameter slurry shield
Li Xiaogang,Li Shengli,Niu Xuechen
Strategic Study of CAE 2010, Volume 12, Issue 12, Pages 51-55
Based on the typical fault analysis of large diameter slurry shield of Beijing underground diameter, the corresponding treatment and preventive measures were proposed, these faults including cutter stuck, shield tail leakage, tail brush damage, segment erector failure, etc. Meanwhile, the shield was maintained in advance with predictability through the oil sample analysis, and the intact rate was guaranteed objectively. In the construction process, the "zero inventory" and a set of scientific equipment management methods like factory management were introduced, making the intact rate of shield machine grow from 60 % to 85 % and even higher, so the normal tunneling progress was ensured.
Keywords： shield fault diagnose management technology
Fault Modelling and Simulation of Satellite Thermal Control System
Li Yunze,Wei Chuanfeng,Yuan Lingshuang,Wang Jun
Strategic Study of CAE 2005, Volume 7, Issue 1, Pages 38-40
In order to master the satellite temperature change caused by thermal control system faults more easily and roundly, satellite thermal control system faults were sort into three basal classes： thermal resistance type, control strategy type,and passive heat load change. A dynamical model which can reflect the temperature change laws of satellite surface, radiator, indoor environment and key electrical equipment was also introduced. With this model the temperature changes caused by thermal faults can be conveniently simulated and this provides a mathematical model and simulation method for fault diagnosis and fault-tolerant control system design of satellite thermal control.
Keywords： satellite thermal control system fault simulation
Title Author Date Type Operation
Application of Uncertainty Reasoning Theory to Satellite Fault Detection and Diagnosis
Yang Tianshe,Li Huaizu,Cao Yuping
Journal Article
利用对称结构和结合差分进化的文化算法检测阵列中的故障传感器
Shafqat Ullah KHAN,Ijaz Mansoor QURESHI,Fawad ZAMAN,Wasim KHAN
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
Motor speed estimation and failure detection of a small UAV using density of maxima
Jefferson S. Souza, Moises C. Bezerril, Mateus A. Silva, Frank C. Veras, Abel Lima-Filho, Jorge Gabriel Ramos, Alisson V. Brito,alissonbrito@ci.ufpb.br
Journal Article
The On-line Fault Detection of the Wheelset Bearing Based
Huang Cailun ,Yu Xiaohua ,Chen Anhua ,Zhang Jian
Journal Article
Active fault-tolerant tracking control of a quadrotorwith model uncertainties and actuator faults
Yu-jiang ZHONG, Zhi-xiang LIU, You-min ZHANG, Wei ZHANG, Jun-yi ZUO
Journal Article
A Fault Location Approach for the Testable Realization of Logic Functions
Pan Zhongliang
Journal Article
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
Autonomous fault-diagnosis and decision-making algorithm for determining faulty nodes in distributed wireless networks
Adel KHOSRAVI,Yousef SEIFI KAVIAN
Journal Article
Adaptive construction of multiwavelet basis function and its applications for mechanical fault diagnosis
He Zhengjia,Sun Hailiang,Zi Yanyang
Journal Article
System management and typical fault analysis of large diameter slurry shield
Li Xiaogang,Li Shengli,Niu Xuechen
Journal Article
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