A New Approach to Quantitative and Credible Diagnosis for Multiple Faults of Components and Sensors

نویسندگان

  • Takashi Washio
  • Masatake Sakuma
  • Masaharu Kitamura
چکیده

Many practical applications of system diagnosis require the credible identi cation of multiple faults of nonlinear components and sensors in quantitative measures. However, the state of the art of diagnosis technique is considered to be still insu cient to meet these severe requirements. The approach of diagnosis using the traditional linear system identi cation theory can diagnose the disturbed parameters of a system in detail and evaluate the quantitative amplitude of the disturbance. However, it hardly provides the diagnosis of the multiple faults and the diagnosis of the components having high non-linearity. On the other hand, some recent model based diagnosis approaches can diagnose the multiple faults even for highly nonlinear components, though they do not provide the detailed diagnosis of elements indivisibly involved in components and the quantitative amplitudes of the faults. The method proposed in this paper provides an e cient remedy to achieve all of the practical requirements, i.e., the credible, detailed and quantitative diagnosis of multiple faults of nonlinear components and sensors. Our study newly proposes the frameworks of optimal constraints and causal ordering of physical systems. Also, a systematic and strict theory to synthesize these frameworks together with the model based diagnosis is provided to characterize an optimal consistency checking method in diagnosis and to evaluate quantitative amplitudes of faulty disturbances. First, the detection of faulty behaviors of an objective component is performed based on the quantitative consistency checking between observations and the optimal constraints, called as "minimal over-constraints", consisting of rst principles in the components. Second, once if some inconsistencies are detected, a mathematical operation of model based diagnosis derives the candidates of faulty elements and functions even under multiple fault conditions. Third, the anomalous quantities directly disturbed by the faulty elements are identi ed systematically based on causal ordering. Furthermore, the quantitative deviations of these quantities are evaluated Preprint submitted to Elsevier Science 11 August 2000 by using the minimal over-constraints. The performance of the proposed method is demonstrated through an example to diagnose an electric water heater. The ability of this diagnosis has been con rmed for the multiple faults in nonlinear and dynamic systems.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

On the development of a sliding mode observer-based fault diagnosis scheme for a wind turbine benchmark model

This paper addresses the design of an observer-based fault diagnosis scheme, which is applied to some of the sensors and actuators of a wind turbine benchmark model. The methodology is based on a modified sliding mode observer (SMO) that allows accurate reconstruction of multiple sensor or actuator faults occurring simultaneously. The faults are reconstructed using the equivalent output err...

متن کامل

On the development of a sliding mode observer-based fault diagnosis scheme for a wind turbine benchmark model

This paper addresses the design of an observer-based fault diagnosis scheme, which is applied to some of the sensors and actuators of a wind turbine benchmark model. The methodology is based on a modified sliding mode observer (SMO) that allows accurate reconstruction of multiple sensor or actuator faults occurring simultaneously. The faults are reconstructed using the equivalent output err...

متن کامل

Online Fault Detection and Isolation Method Based on Belief Rule Base for Industrial Gas Turbines

Real time and accurate fault detection has attracted an increasing attention with a growing demand for higher operational efficiency and safety of industrial gas turbines as complex engineering systems. Current methods based on condition monitoring data have drawbacks in using both expert knowledge and quantitative information for detecting faults. On account of this reason, this paper proposes...

متن کامل

Analysis of Magnetic Flux Linkage Distribution in Salient-Pole Synchronous Generator with Different Kinds of Inter-Turn Winding Faults

A reliable and accurate diagnosis of inter-turn short circuit faults is a challenging problem in the area of fault diagnosis of electrical machines. The purpose of this challenge is to be more efficient in fault detection and to provide a reliable method with low-cost sensors and simple numerical algorithms which not only detect the occurrence of the fault, but also locate its position in the w...

متن کامل

A Self-Reconstructing Algorithm for Single and Multiple-Sensor Fault Isolation Based on Auto-Associative Neural Networks

Recently different approaches have been developed in the field of sensor fault diagnostics based on Auto-Associative Neural Network (AANN). In this paper we present a novel algorithm called Self reconstructing Auto-Associative Neural Network (S-AANN) which is able to detect and isolate single faulty sensor via reconstruction. We have also extended the algorithm to be applicable in multiple faul...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • Artif. Intell.

دوره 91  شماره 

صفحات  -

تاریخ انتشار 1997