Issues in fault detectability for dynamic systems

Gobbo, D. Del; Napolitano, M.

doi:10.1109/acc.2000.879156

Cited by 8 publications

(5 citation statements)

References 7 publications

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“…Fault detectability in [4] was defined as a fault on a component of the system is said to be detectable, if and only if, the fault occurs after a certain time, in spite of disturbances, the The fault diagnosability of linear systems has been widely studied by researchers. A fault in linear systems was detectable or strongly detectable if it was possible to construct a residual generator that was sensitive to the fault or the constant fault while decoupling all disturbances in [6].…”

Section: Introductionmentioning

confidence: 99%

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Evaluation and design of actuator fault diagnosability for nonlinear affine uncertain systems with unknown indeterminate inputs

Xing

Xia

2016

Adaptive Control & Signal

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In this paper, the evaluation and design scheme of fault diagnosability are investigated by differential geometry theories for a class of nonlinear affine uncertain systems with unknown indeterminate inputs. Considering two coupling relationships of outputs with uncertainties and faults, the sufficient and necessary conditions of fault detectability and isolability are established. For the problem that uncertainties influence the system outputs and make the faults undetectable, a design scheme of fault diagnosability is proposed. For nonlinear affine uncertain systems, a relatively complete theoretical system of the evaluation and design of fault diagnosability comes into being. An illustrative example is given to demonstrate the effectiveness of the proposed evaluation and design scheme of fault diagnosability. EVALUATION AND DESIGN OF ACTUATOR FAULT DIAGNOSABILITY 123 detection of the fault can be realized by using the information of system inputs and outputs as well. Fault isolability in [5] was defined as that for a given set of different faults, the system has a different performance ability.

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Section: Introductionmentioning

confidence: 99%

“…L f i k 1 (14) the termination condition of recursion is 9k ) k C1 D k . Generated minimum dual distribution 4…”

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confidence: 99%

Evaluation and design of actuator fault diagnosability for nonlinear affine uncertain systems with unknown indeterminate inputs

Xing

Xia

2016

Adaptive Control & Signal

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“…The V&C for these neural schemes must start from a clear definition of the SFDIA and AFDIA system requirements followed by the introduction of ad-hoc analytical tools for assessing the closed-loop stability of the system leading to the final system certification. These issues are not trivial and their resolution is a critical phase prior to the actual implementation of artificial intelligence fault-tolerant control schemes on on-board computers [27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

YF22 Model With On-Board On-Line Learning Microprocessors-Based Neural Algorithms for Autopilot and Fault-Tolerant Flight Control Systems

Napolitano¹

2002

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Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing inslruclio data needed, and completing and reviewing this collection of information. Send comments regarding this burden estimate or any other aspect < this burden to Department of Defense, Washington Headquarters Services, Directorate for Information Operations and Reports (0704-0188), 13 Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to con 1MB control number. PERFORMING ORGANIZATION REPORT NUMBER SPONSORING / MONITORING AGENCY NAME(S) AND ADDRESS(ES)Dr ABSTRACTThis project focused on investigating the potential of on-line learning "hardware-based" neural approximators and controllers to provide fault tolerance capabilities following sensor and actuator failures. Following a phase of simulation studies a set of selected architectures for neural estimators and neural controllers were flown on a semi-scale YF-22 aircraft model. The YF-22 model was designed, built, and flown at research facilities at West Virginia University. Additionally, a customized electronic payload featuring these fault tolerant schemes was designed, built, tested and interfaced with the YF-22 flight control system. A series of 33 flight tests were conducted with the aircraft; the flight data confirmed the potential of neural estimators and controllers for fault tolerance purposes. Another research objective was to start addressing system requirements leading to the problem of software validation and verification for this new class of algorithms for fault tolerant flight control systems. SUBJECT TERMS ABSTRACTThis project focused on investigating the potential of on-line learning "hardwarebased" neural approximators and controllers to provide fault tolerance capabilities following sensor and actuator failures.Following a phase of simulation studies a set of selected architectures for neural estimators and neural controllers were flown on a semi-scale YF-22 aircraft model. The YF-22 model was designed, built, and flown at research facilities at West Virginia University. Additionally, a customized electronic payload featuring these fault tolerant schemes was also designed, built, tested and interfaced with the YF-22 flight control system. A series of 33 flight tests were conducted with the aircraft; the flight data confirmed the potential of neural estimators and controllers for fault tolerance purposes.Another research objective was to start addressing system requirements leading to the problem of software validation and verification for this new class of algorithms for fault tolerant flight control systems. Section #4: Development of a mathematical model for the WVU YF-22 using parameter estimation from flight data and development of a Matlab simulation code featuring online learning neural networks for fault tolerant flight control systems (sensor and actuator failures). INTRODUCTIONThis document presents a summary o...

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“…The FD scheme requirements, in fact, specify the desired functions of the scheme without describing the details about their implementation. The definition of detectability condition as a system property that does not depend on the adopted FD scheme has been recently proposed in [2]. This condition can be summarized as follows:…”

Section: Validation Of Fd Systems Requirements: Fault Detectability Amentioning

confidence: 99%

“…A simplified block diagram of the system is shown in Figure 2 [1,2]. ) s ( G o represents the non-linear dynamics of the inverted pendulum, r K and x K implement the control law, ) s ( H d describes the effects of disturbances within the system, ) t ( r is the reference signal for the position of the cart, ) t ( d is the disturbance input, ) t ( f is the fault input used to represent the occurrence of a fault on the system outputs, ) t ( x is the system output (actual output), ) t ( y is the sensor's output (measured output).…”

Section: Case Studymentioning

confidence: 99%

Fault detectability analysis for requirements validation of fault tolerant systems

Gobbo

Čukić

Napolitano

et al.

Proceedings 4th IEEE International Symposium on High-Assurance Systems Engineering

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When high assurance applications are concerned, life cycle process control has witnessed steady improvement over the past two decades. As a consequence, the number of software defects introduced in the later phases of the life cycle, such as detailed design and coding, is decreasing. The majority of the remaining defects originate in the early phases of the life cycle. This is understandable, since the early phases deal with the translation from informal requirements into a formalism that will be used by developers. Since the step from informal to formal notation is inevitable, verification and validation of the requirements continue to be the research focus. Discovering potential problems as early as possible provides the potential for significant reduction in development time and cost.In this paper, the focus is on a specific aspect of requirements validation for dynamic fault tolerant control systems: the feasibility assessment of the fault detection task. An analytical formulation of the fault detectability condition is presented. This formulation is applicable to any system whose dynamics can be approximated by a linear model. The fault detectability condition can be used for objective validation of fault detection requirements. In a case study, we analyze an inverted pendulum system and demonstrate that "reasonable" requirements for a fault detection system can be infeasible when validated against the fault detectability condition.

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Issues in fault detectability for dynamic systems

Cited by 8 publications

References 7 publications

Evaluation and design of actuator fault diagnosability for nonlinear affine uncertain systems with unknown indeterminate inputs

Evaluation and design of actuator fault diagnosability for nonlinear affine uncertain systems with unknown indeterminate inputs

YF22 Model With On-Board On-Line Learning Microprocessors-Based Neural Algorithms for Autopilot and Fault-Tolerant Flight Control Systems

Fault detectability analysis for requirements validation of fault tolerant systems

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