Internal Combustion Engine Noise Analysis With Time-Frequency Distribution
01 Jul 2002-Journal of Engineering for Gas Turbines and Power-transactions of The Asme (American Society of Mechanical Engineers)-Vol. 124, Iss: 3, pp 645-649
TL;DR: In this article, an analysis procedure using the time-frequency distribution has been developed for the analysis of internal combustion engine noise signals, making use of advantages of both the linear timefrequency distribution and the bilinear time frequency distribution but avoiding their disadvantages.
Abstract: An analysis procedure, using the time-frequency distribution, has been developed for the analysis of internal combustion engine noise signals. It provides an approach making use of advantages of both the linear time-frequency distribution and the bilinear time-frequency distribution but avoiding their disadvantages. In order to identify requirements on the time-frequency analysis and also correlate a time-frequency analysis result with noise sources, the composition of the noise signal is discussed first. With this discussion, a mathematical model has been suggested for the noise signal. An example of identifying noise sources and detecting the abnormal condition of an injector with the noise signal time-frequency distribution for a diesel engine is also provided.
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TL;DR: In this article, nonintrusive measurements are used with the aim of indirect characterization of the combustion process of an internal combustion diesel engine, and a diagnostic technique is presented for the same purpose.
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01 Jan 2010
TL;DR: Experimental results show that the proposed Empirical Mode Decomposition (EMD) and Hidden Markov Model (HMM)- based approach for IC engine can be used as a tool in intelligent autonomous system for condition monitoring and fault diagnosis.
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17 citations
Journal Article•
TL;DR: In this article, the authors attempted to diagnose the bearing's timing belt tensioner pulley by measuring the accelerations of radial vibrations of screw fixing the tensioner during experiments using MatLab.
Abstract: The roller-bearings are the most widely used appliances of the engine's fittings. The regular use of the rollerbearings leads to their degradation and subsequently to their damage. In extreme situations, the damaged roller-bearing can come to a standstill leading to the engine's failure. As for the maintenance of the engine, it would be crucial to work out the methods of supporting the diagnosis of the engine's fittings and its elements. The methods would enable to determine the condition of measure without the need of the disassembly. The vibroacoustic methods present the greatest possibilities in that field. The authors attempted to realize that task for a chosen element of the combustion engine's fittings in a car. The article presents the results of the conducted research and the study concerning the diagnosis of the bearing's timing belt tensioner pulley. The investigation was conducted for new roller-bearings as well as damaged. Different values of tension in investigations were applied by timing belt, which were placed for help of instrument PR-20. The accelerations of radial vibrations of screw fixing the tensioner pulley were measured during experiments. The recording of accelerations of vibrations was done for different constant engine speeds. The results of the research were analyzed by using software MatLab. The study indicated the measure sensitive to the changes of the technical condition of the tested element. The findings obtained confirm the usefulness of the presented method which in the form of a suitable algorithm may use as the basis for creating a diagnostic device.
9 citations
References
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Abstract: A review and tutorial of the fundamental ideas and methods of joint time-frequency distributions is presented. The objective of the field is to describe how the spectral content of a signal changes in time and to develop the physical and mathematical ideas needed to understand what a time-varying spectrum is. The basic gal is to devise a distribution that represents the energy or intensity of a signal simultaneously in time and frequency. Although the basic notions have been developing steadily over the last 40 years, there have recently been significant advances. This review is intended to be understandable to the nonspecialist with emphasis on the diversity of concepts and motivations that have gone into the formation of the field. >
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TL;DR: In this article, it was shown that while high order Daubechies and Battle-Lemarie wavelets give poor time-frequency localizations, the Chui-Wang spline-wavelets provide asymptotically optimal timefrequency windows.
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01 Sep 1996
TL;DR: It is illustrated how the use of joint TF signal representations can result in tangible benefits when analyzing signatures generated by transient phenomena in mechanical systems, such as might be caused by faults or otherwise abnormal operation.
Abstract: Signature analysis consists of the extraction of information from measured signal patterns. The work presented in this paper illustrates the use of time-frequency (TF) analysis methods for the purpose of mechanical signature analysis. Mechanical signature analysis is a mature and developed field; however, TF analysis methods are relatively new to the field of mechanical signal processing, having mostly been developed in the present decade, and have not yet been applied to their full potential in this field of engineering applications. Some of the ongoing efforts are briefly reviewed in this paper. One important application of TF mechanical signature analysis is the diagnosis of faults in mechanical systems. In this paper we illustrate how the use of joint TF signal representations can result in tangible benefits when analyzing signatures generated by transient phenomena in mechanical systems, such as might be caused by faults or otherwise abnormal operation. This paper also explores signal detection concepts in the joint TF domain and presents their application to the detection of internal combustion engine knock.
73 citations
01 Oct 1996
TL;DR: In this paper, Wigner-Ville distribution (WVD) analysis of nonstationary vibration signals monitored on the injector body is used to locate regions of vibration in the time-frequency plane which are responsive to injection parameters.
Abstract: Part 2 of this paper presents the experimental and analytical procedures used in the estimation of injection parameters from monitored vibration. The mechanical and flow‐induced sources of vibration in a fuel injector are detailed and the features of the resulting vibration response of the injector body are discussed. Experimental engine test and data acquisition procedures are described, and the use of an out‐of‐the‐engine test facility to confirm injection dependent vibration response is outlined.
Wigner‐Ville distribution (WVD) analysis of non‐stationary vibration signals monitored on the injector body is used to locate regions of vibration in the time‐frequency plane which are responsive to injection parameters. From the data in these regions, estimates of injection timing and fuel pressure are obtained.
Accurate estimation of injection parameters from externally monitored vibration is shown to pave the way for the detection and diagnosis of injection system faults. Moreover, it is demonstrated that the technique provides an alternative method for the set‐up, checking and adjustment of fuel injection timing.
Table 1 caption: Test engine specification
Fig. 1 caption: Injector vibration versus cylinder pressure, line pressure and needle lift
Fig. 2 caption: Bench‐top test rig layout and data acquisition system
Fig. 3 caption: Injector vibration and needle motion from bench‐top testing
Fig. 4 caption: Engine test layout and data acquisition system
Fig. 5 caption: Time‐frequency analysis of injector vibration
Fig. 6 caption: Time‐frequency analysis of injector vibration at 3000 r/min
Fig. 7 caption: Timing of the fuel injection process
Fig. 8 caption: Comparison of needle lift and vibration derived injection timing
Fig. 9 caption: Comparison between injection line pressure and injector vibration
Fig. 10 caption: Relationship between injector vibrtation and line pressure
24 citations