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Open AccessJournal ArticleDOI

Acoustic monitoring of engine fuel injection based on adaptive filtering techniques

TLDR
In this paper, adaptive filtering techniques are employed to enhance diesel fuel injector needle impact excitations contained within the air-borne acoustic signals, which are remotely measured by a condenser microphone located 25 cm away from the injector head, band pass filtered and processed in a personal computer using MatLab.
About
This article is published in Applied Acoustics.The article was published on 2010-12-01 and is currently open access. It has received 65 citations till now. The article focuses on the topics: Injector & Fuel injection.

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Citations
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Journal ArticleDOI

Diesel engine fuel injection monitoring using acoustic measurements and independent component analysis

TL;DR: In this article, the air-borne acoustic signals in the vicinity of injector head were recorded using three microphones around the fuel injector (120° apart from each other) and an independent component analysis (ICA) based scheme was developed to decompose these acoustic signals.
Journal ArticleDOI

An intelligent approach for engine fault diagnosis based on Hilbert–Huang transform and support vector machine

TL;DR: Noise-based intelligent method for engine fault diagnosis (EFD), so-called HHT–SVM model, developed in this paper, which can be used to deal with both the stationary and nonstationary signals, and even the transient ones.
Journal ArticleDOI

Vibro-acoustic condition monitoring of Internal Combustion Engines: A critical review of existing techniques

TL;DR: In this article, a review of the state-of-the-art strategies and techniques based on vibro-acoustic signals that can monitor and diagnose malfunctions in Internal Combustion Engines (ICEs) under both test bench and vehicle operating conditions is presented.
Journal ArticleDOI

Acoustic emission pattern recognition approach based on Hilbert–Huang transform for structural health monitoring in polymer-composite materials

TL;DR: The Hilbert–Huang transform is used for the extraction of new relevant damage descriptor to be adopted for Acoustic Emission (AE) pattern recognition in order to help understanding the damage process.
Journal ArticleDOI

Fault detection of injectors in diesel engines using vibration time-frequency analysis

TL;DR: It infers that, in real-time performance monitoring of an engine, the STFT technique is more efficient for fault diagnosis of fuel injection nozzles and knock detection.
References
More filters
Book

Adaptive Filter Theory

Simon Haykin
TL;DR: In this paper, the authors propose a recursive least square adaptive filter (RLF) based on the Kalman filter, which is used as the unifying base for RLS Filters.
Book

Adaptive Signal Processing

TL;DR: This chapter discusses Adaptive Arrays and Adaptive Beamforming, as well as other Adaptive Algorithms and Structures, and discusses the Z-Transform in Adaptive Signal Processing.
Journal ArticleDOI

Adaptive enhancement of multiple sinusoids in uncorrelated noise

TL;DR: In this paper, the steady-state behavior of the adaptive line enhancer (ALE) is analyzed for a stationary input consisting of multiple sinusoids in white noise, and it is shown that the expected values of the ALE weights in steady state can be written as a sum of sinusoid and that the amplitude of each susoid is coupled to that of all other susoids by coefficients that approach zero as the number of ALE weights becomes large.
Journal ArticleDOI

The enhancement of impulsive noise and vibration signals for fault detection in rotating and reciprocating machinery

TL;DR: In this article, a two-stage Adaptive Line Enhancer (ALE) was proposed to aid the measurement and characterization of impulsive sound and vibration signals in machinery, which exploits two adaptive filter structures in series to obtain simultaneous spectral and temporal information.
Related Papers (5)
Frequently Asked Questions (13)
Q1. What are the contributions mentioned in the paper "Acoustic monitoring of engine fuel injection based on adaptive filtering techniques" ?

In this work adaptive filtering techniques are employed to enhance diesel fuel injector needle impact excitations contained within the air-borne acoustic signals. The developed enhancement scheme parameters are determined and its consistency in extracting and enhancing signal to noise ratio of injector signatures is examined using simulation and real measured signals ; this allows much better condition monitoring information extraction. 

Injection pressure, fuel quantity, injector opening and closing timings and other parameters are keys to the ideal injection process condition monitoring system. 

14To extract the injector operation impacts from the monitored airborne acoustic signals using the proposed adaptive scheme, the dominant harmonic components were removed using a high pass filter and the residual signal was used as an input to the proposed adaptive scheme. 

The second stage aims to reduce the broadband noise, for this the authors need a fast convergence algorithm such as a short Normalised Least Mean Square (NLMS). 

Improvement of diesel engines performance necessities has arisen as a result of the increasing interest in environmental problems, and reduction of noise and pollutant emissions. 

Any decrease in the stiffness will change the injection time and therefore degrade the combustion process and the engine performance. 

In the medium size, high speed diesel engines, the moving mass inside the injector is small in the order of 15 grams, and this mass takes a very short time, in the order of 1-3 milliseconds, from the fully open to fully closed position. 

More importantly, SNR improvement allows various statistical methods to be successfully used in diagnosing injector related faults. 

The air-borne acoustic signals were measured using a high-bandwidth free-field condenser microphone, B&K model MK224, the sampling frequency was set to 80 kHz. 

In this case the opening pressure of the healthy injector was 250 bars and by reducing the spring stiffness the injector opening pressure was reduced to 230 bars. 

Another scheme called Adaptive Self Tuning is depicted in Figure 3, this scheme in fact a degenerate form of the adaptive noise canceller in that its reference signal, instead of being derived separately, consists of a delayed version of the input signal [13]. 

The tap weight adaptation of LMS algorithm can be written as )()()()1( nenxnwnw (3) Where )(nw is the coefficient vector at time ,n is the step size, )(ne is the adaptation error and )(nu is the input vector, respectively, at time n . 

The experiments were performed with a four-stroke, four-cylinder, in-line OHV, direct injection, Ford FSD 425 type diesel engine.