Fault Diagnosis of an Engine through Analyzing Vibration Signals at the Block Hyundai Motor Group

Format:

Book

Conference/Event

Author/Creator:

Jin, Jaemin, author.

Contributor:

Jung, Insoo

Shin, Sung Hwan

Conference Name:

11th International Styrian Noise, Vibration & Harshness Congress: The European Automotive Noise Conference (2020-11-03 : Graz, Austria)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2020

Summary:

Unpredictable faults oriented from ambiguous reasons could occur in an engine of a vehicle. However, there are some symptoms from which an engine is working abnormally before the engine is stalled by faults. In this paper, methods for diagnosis of engine faults by using vibrations are proposed. Through bench tests, to extract features for fault diagnosis, various samples with normal and abnormal conditions are prepared and vibration signals from the block of an engine are measured and analyzed. To consider cost and performance of a sensor, vibrations from a knock sensor signal as well as accelerometers are analyzed. Measured vibration signals are synchronized with signal of the crank position sensor and analyzed to detect which event is involved. Modulation analysis and Hilbert transform are applied to extract features representing the symptoms of engine faults and to indicate when the abnormal event happens, respectively. As a result, the mean value of modulation indexes at modulated frequencies called as the half order modulation index (HOMI) is a factor determining if an engine is abnormal and envelope of the vibration signal is an indicator of the abnormal timing

Notes:

Vendor supplied data

Publisher Number:

2020-01-1568

Access Restriction:

Restricted for use by site license