TY - GEN
T1 - Intelligent Approach to Valve Clearance Diagnostic in Cars
AU - Czech, Piotr
PY - 2013
Y1 - 2013
N2 - In many research centres all over the world work is nowadays being carried out aimed at compiling a method for diagnostic of machines technical condition. Non-destructive methods, including methods using vibroacoustic phenomena, have a special meaning. As we can read in the literature, vibroacoustic signals generated during the work of technical objects have necessary information connected with the technical condition of those objects. An appropriate transformation of registered signals is the main problem. This paper suggests using a discrete wavelet transform and energy and entropy, which provide the basis for a diagnostic system of valve clearance in a car combustion engine. Research aimed at building a diagnostic system using neural networks was conducted. This approach to diagnosis of the technical condition of combustion engine elements gives a possibility for the future enlargement of an on-board diagnostic system OBD, which is being used nowadays.
AB - In many research centres all over the world work is nowadays being carried out aimed at compiling a method for diagnostic of machines technical condition. Non-destructive methods, including methods using vibroacoustic phenomena, have a special meaning. As we can read in the literature, vibroacoustic signals generated during the work of technical objects have necessary information connected with the technical condition of those objects. An appropriate transformation of registered signals is the main problem. This paper suggests using a discrete wavelet transform and energy and entropy, which provide the basis for a diagnostic system of valve clearance in a car combustion engine. Research aimed at building a diagnostic system using neural networks was conducted. This approach to diagnosis of the technical condition of combustion engine elements gives a possibility for the future enlargement of an on-board diagnostic system OBD, which is being used nowadays.
KW - artificial neural networks
KW - diagnostics
KW - internal combustion engines
KW - on-board diagnostics
UR - https://www.scopus.com/pages/publications/84904679897
U2 - 10.1007/978-3-642-41647-7_47
DO - 10.1007/978-3-642-41647-7_47
M3 - Conference contribution
AN - SCOPUS:84904679897
SN - 9783642416460
T3 - Communications in Computer and Information Science
SP - 384
EP - 391
BT - Activities of Transport Telematics - 13th International Conference on Transport Systems Telematics, TST 2013, Selected Papers
PB - Springer Verlag
T2 - 13th International Conference on Transport Systems Telematics, TST 2013
Y2 - 23 October 2013 through 26 October 2013
ER -