Journal ArticleDOI
Acoustic emission mapping of diesel engines for spatially located time series—Part II: Spatial reconstitution
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TLDR
In this article, the authors investigated the characteristics of AE wave transmission around and through the cylinder head of a small four-stroke fuel injection diesel engine, using a nine-sensor array.About:
This article is published in Mechanical Systems and Signal Processing.The article was published on 2007-02-01. It has received 41 citations till now. The article focuses on the topics: Cylinder head & Acoustic emission.read more
Citations
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Journal ArticleDOI
Acoustic emission characteristics of a single cylinder diesel generator at various loads and with a failing injector
Brian Dykas,James Harris +1 more
TL;DR: In this paper, a single cylinder diesel engine was tested in a laboratory setting and the results showed promising results for nonintrusive and economical change detection of engine injection, combustion and valve events.
Journal ArticleDOI
Standard deviation based acoustic emission signal analysis for detecting valve internal leakage
Guo-Yang Ye,Ke-Jun Xu,Wen-Kai Wu +2 more
TL;DR: In this paper, the authors investigated the relationship between the characteristic quantity of the acoustic emission (AE) signal and the valve leakage rate, and the theoretical relationship between standard deviation of AE signal of valve leakage and the leakage rate was determined.
Journal ArticleDOI
Diesel Engine Injector Faults Detection Using Acoustic Emissions Technique
TL;DR: In this paper, the authors investigated the method of identifying injector faults in a JCB 444T2 diesel engine using acoustic emission (AE) technique and found that AE can clearly monitor the changes in the combustion process due to its high signal to noise ratio, where other vibroacoustic sources have little influence.
Journal ArticleDOI
Normalization and source separation of acoustic emission signals for condition monitoring and fault detection of multi-cylinder diesel engines
TL;DR: In this article, a signal processing technique is presented to normalize and separate the source of nonlinear acoustic emission (AE) signals of a multi-cylinder diesel engine for condition monitoring applications and fault detection.
Journal ArticleDOI
Nondestructive Detection of Valves Using Acoustic Emission Technique
TL;DR: The applications of acoustic emission (AE) technique in detection of valves are presented in this paper, and the theoretical models and experimental results of non-destructive detection of valve using AE are provided.
References
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Book
Stress Waves in Solids
TL;DR: A large and growing number of original papers on both the experimental and the theoretical aspects of stress wave propagation is appearing in the scientific literature, and two international conferences solely concerned with the subject have been held during the last five years as mentioned in this paper.
Journal ArticleDOI
Source location of acoustic emission in diesel engines
TL;DR: In this paper, two source location techniques, a traditional wave velocity-based and an energy-based technique, using triangular sensor arrays, are used to locate source positions on the cylinder head of a 74kW diesel engine using simulated sources (pencil lead break) and real sources (e.g. injectors and exhaust valves during engine running).
Journal ArticleDOI
The development of automated pattern recognition and statistical feature isolation techniques for the diagnosis of reciprocating machinery faults using acoustic emission
TL;DR: The ultimate aim of the work, of which this paper is a part, is to provide a means of on-line automatic monitoring of reciprocating machines using AE without recourse to any additional sensors.
Journal ArticleDOI
AE mapping of engines for spatially located time series
TL;DR: In this article, the authors presented the first step towards using multiple acoustic emission (AE) sensors to produce spatially located time series signals for a running engine, which is meant the decomposition of a multi-source signal by acquiring it with an array of sensors and using source location to reconstitute the individual time series attributable to some or all of these signals.