Title :
Application of Factor Analysis to a Type Diesel Engine SOA
Author :
Tao Liu ; Hongxiang Tian ; Wenyong Guo
Author_Institution :
Naval Univ. of Eng., Wuhan, China
Abstract :
In order to monitor wear condition of a type of six-cylinder diesel engine, 69 oil samples from an experiment engine in laboratory and 117 oil routine samples on site were taken. With the Spectroil M type Instrument made in U. S. America, 16 elements´ concentrations of every oil sample were detected. All data were analyzed by Factor Analysis. The results shows that mining oil spectroscopy data by Factor Analysis can be used to reveal the sources of different elements, monitor engine condition and diagnose wear fault. Based on the Load Matrix and Factor Scores, Factor Analysis clusters spectrometric oil data according to not only elements but also working conditions effectively.
Keywords :
condition monitoring; data mining; diesel engines; fault diagnosis; mechanical engineering computing; oils; pattern clustering; spectroscopy; spectroscopy computing; wear; engine condition monitoring; factor analysis; factor scores; load matrix; oil spectroscopy data mining; six-cylinder diesel engine; spectroil M type instrument; spectrometric oil data clustering; type diesel engine spectrometric oil analysis; wear condition monitoring; wear fault diagnosis; Condition monitoring; Data analysis; Data mining; Diesel engines; Employee welfare; Instruments; Laboratories; Petroleum; Semiconductor optical amplifiers; Spectroscopy; Diesel Engine; Factor Analysi; Lubricating Oil; Spectrometric Oil Analysis (SOA);
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
Conference_Location :
Changsha City
Print_ISBN :
978-1-4244-5001-5
Electronic_ISBN :
978-1-4244-5739-7
DOI :
10.1109/ICMTMA.2010.397
