Malfunction Detection in Multi-cylinder Engines Using Wavelet Packet Dictionary The Department of Mechanical Engineering

Format:

Conference/Event

Author/Creator:

Tafreshi, R., author.

Conference Name:

SAE 2005 Noise and Vibration Conference and Exhibition (2005-05-16 : Grand Traverse, Michigan, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2005

Summary:

In this paper, wavelets as signal processing tools are used to analyze the acceleration data acquired at the cylinder head for the detection and characterization of combustion malfunctions in multi-cylinder industrial engines. The objectives were to collect data on 1) normal operations, and 2) operations with a deactivated cylinder to simulate a faulty condition. Wavelet packet and local discriminatory basis algorithm are used to select wavelets that can recognize different conditions. It is shown that the wavelet packet provides a useful data analysis structure for extracting features that are capable of detecting the combustion malfunction of one cylinder in a 12-cylinder engine. Feature extraction is followed by a classification that uses a neural network for the fault identification phase

Notes:

Vendor supplied data

Publisher Number:

2005-01-2261

Access Restriction:

Restricted for use by site license