Model-based Fault Diagnosis in Dynamic Systems Using by Silvio Simani PhD, Cesare Fantuzzi PhD, Ronald Jon Patton

By Silvio Simani PhD, Cesare Fantuzzi PhD, Ronald Jon Patton Beng, MEng, PhD (auth.)

Safety in commercial procedure and construction crops is a priority of emerging significance, in particular if humans will be endangered through a catastrophic method failure. nonetheless, as the regulate units that are now exploited to enhance the general functionality of commercial strategies contain either refined electronic process layout recommendations and complicated (input-output sensors, actuators, elements and processing units), there's an elevated chance of failure. As an instantaneous end result of this, regulate platforms needs to contain computerized supervision of closed-loop operation to notice and isolate malfunctions as early as possible.

One of the main promising tools for fixing this challenge is the "analytical redundancy" method, during which residual indications are got. the elemental concept comprises utilizing a correct version of the approach to imitate the true procedure behaviour. If a fault happens, the residual sign, i.e., the adaptation among actual approach and version behaviours, can be utilized to diagnose and isolate the malfunction.

This e-book makes a speciality of version id orientated to the analytical strategy of fault prognosis and identity. the matter is handled in all its elements covering:

• collection of version structure;

• parameter identification;

• residual generation;

• fault analysis and isolation.

Sample case reports are used to illustrate the appliance of those techniques.

Model-based Fault prognosis in Dynamic platforms utilizing identity Techniques should be of curiosity to researchers on top of things and fault id. commercial keep watch over engineers drawn to utilising the newest equipment in fault prognosis will enjoy the sensible examples and case studies.

Advances in business Control goals to document and inspire the move of expertise up to the mark engineering. The fast improvement of keep an eye on expertise has an influence on all parts of the keep an eye on self-discipline. The sequence deals a chance for researchers to provide a longer exposition of recent paintings in all points of business control.

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Extra info for Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques

Example text

40 2. , 2000]. 3 Fault Detection with Parity Equations The basic idea of the parity relations approach is to provide a proper check of the parity (consistency) of the measurements acquired from the monitored system. In the early development of fault diagnosis, the parity vector (relation) approach was applied to static or parallel redundancy schemes [Potter and Suman, 1977] which may be obtained directly from measurements (hardware redundancy) or from analytical relations (analytical redundancy).

Ex(t) as well as e(t) show dynamic behaviour which are different for LI/(t) and Ld(t). Both ex(t) or e(t) can be taken as residuals. In particular, the residual e(t) is the basis for different fault detection methods based on output estimation. For the generation of residual with special properties, the design of the ob server feedback matrix H is of interest [Chen and Patton, 1999, Liu and Patton, 1998]. Limiting conditions are the stability and the sensitivity against disturbances v(t) and w(t).

Generally, the process parameters B depend on physical process coefficients p (like stiffness, damping factor, resistance, ... ) B = f(p) via non-linear algebraic equations. , 2000, Isermann, 1992], changes Llp of the process coefficients can be calculated. These changes in the coefficients are in many cases directly related to faults. Thus, although the knowledge of Llp facilitates the fault diagnosis problem, it is not necessary for fault detection only. Parameter estimation can also be applied to non-linear static process models [Isermann, 1993].

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