alexa Abstract | Expert System for Detecting and Diagnosing Car Engine Brake Failure Fault using Dynamic Control System (DCS)
ISSN: 2168-9679

Journal of Applied & Computational Mathematics
Open Access

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Research Article Open Access

Abstract

Dynamic Control Systems (DCS) can be applied in detecting and diagnosing car engine brake failure faults which has continuously being implemented to serve different branches such as Mechanical Engineering and many others. Car engine Brake Failure is a sequence of diagnostic processes that brings about the deployment of expertise. It is very important to note that Expert System (ES) is one of the leading Artificial Intelligence techniques that have been adopted to handle such task. This paper presents the imperatives for an Expert System in developing Dynamic Control Systems for detecting and diagnosing car engine Brake Failure faults through input and output requirements of constructing successful Knowledge-Based Systems. Furthermore, diagnosis of car engine Brake Failure faults requires high technical skills and experienced mechanics which are typically scarce and expensive to get. Thus, DCS provides input and output equations in form of Matrix/Vector State Space Representation (MSSR) which is useful in assisting mechanical technicians for car brake failure detection and diagnosis via mathematical Differential Equations in form of DCS.

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Author(s): Ibitayo LD, Mohammed GU, Rabiu I and Abdulrahman A

Keywords

Car engine brake failure faults, Dynamic Control Systems (DCS), Differential equations, Expert system, Matrix/Vector State Space Representation (MSSR), Generating function, Input and output equations, State equation, Smooth Complexities, Adomian Decomposition Method, Applied Mathematics, Number Theory, Sensitivity Analysis, Convection Diffusion Equations, Numerical Solutions, Nonlinear Differential Equations, Differential Transform Method , Balance Law, Quasilinear Hyperbolic Systems, Mixed Initial-boundary Value, Fuzzy Boundary Value, Semi Analytical-Solution, Integrated Analysis, Fuzzy Environments, Molecular Modelling, Fuzzy Quasi-Metric Space, Three Dimensional Steady State, Computational Model

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