Title

Design and implementation of an acoustic-based car engine fault diagnostic system in the android platform

Date of Publication

2012

Document Type

Master's Thesis

Degree Name

Master of Science in Electronics and Communications Engineering

College

Gokongwei College of Engineering

Department/Unit

Electronics And Communications Engg

Thesis Adviser

Edwin Sybingco

Defense Panel Chair

Cesar A. Llorente

Defense Panel Member

Reggie C. Gustilo
Melvin K. Cabatuan
Rosemary R. Seva

Abstract/Summary

This study aims to design and implement an acoustic-based car engine fault diagnostic system in the Android platform.

A smart phone running the Adroid operating system is used in order to analyze sounds coming from the car engine. Fault diagnosis covers engine start problem detection, drive-belt analysis and tune-up detection based on valve clearance. The system is equipped with signal processing algorithms that process the sounds obtained to come up with a diagnostic result and further recommend some possible solutions. The algorithm is based on the correlation coefficient of the spectral power densities (SPD), collected using two distinct clustering techniques, of the audio signals which are fed into a fuzzy logic inference system.

The system design and implementation was made successful in a smart phone running in the Android platform. Results show that the system was able to diagnose the engine not just in a single brand of car models.

Abstract Format

html

Language

English

Format

Electronic

Accession Number

CDTG005256

Shelf Location

Archives, The Learning Commons, 12F Henry Sy Sr. Hall

Physical Description

xi, 91 p. ; ill. ; 28 cm. + 1 computer optical disc ; 4 3/4 in.

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