@inproceedings{63e51d31981a4fec9db9eebe17de262c,
title = "Hybrid model application for fault detection and quality assurance",
abstract = "This paper presents a novel hybrid model base approach for fault detection and quality assurance in a class of systems by detecting faults at the fabrication time and during operation. A fault diagnostic methodology is proposed to detect the faults. The method is applied for testing the alignment of hole punched on a disk and placement of blades on a jet turbine and SI engine for detecting faults. Experimental validation of hybrid model is performed by comparing the simulations of model with experimental data obtained from a production vehicle. Prototypes models of other systems were formed for experimental validation of results for those systems.",
keywords = "Fault diagnostics, Hybrid systems, Quality testing",
author = "Rizvi, \{M. A.\} and F. Malik and Bhatti, \{A. I.\} and Butt, \{Q. R.\}",
year = "2010",
language = "English",
isbn = "9788021441200",
series = "Mendel",
publisher = "Brno University of Technology",
pages = "418--425",
booktitle = "MENDEL 2010 - 16th International Conference on Soft Computing",
address = "Czech Republic",
note = "16th International Conference on Soft Computing: Evolutionary Computation, Genetic Programming, Fuzzy Logic, Rough Sets, Neural Networks, Fractals, Bayesian Methods, MENDEL 2010 ; Conference date: 23-06-2010 Through 25-06-2010",
}