Processing of Instantaneous Angular Speed Signal for Detection of a Diesel Engine Failure

Continuous monitoring of diesel engine performance under its operating is critical for the prediction of malfunction development and subsequently functional failure detection. Analysis of instantaneous angular speed (IAS) of the crankshaft is considered as one of the nonintrusive and effective methods of the detection of combustion quality deterioration. In this paper results of experimental verification of fuel system's malfunction detecting, using optical encoder for IAS recording are presented. The implemented method relies on the comparison of measurement results, recorded under healthy and faulty conditions of the engine. Elaborated dynamic model of angular speed variations enables us to build templates of engine behavior. Recorded during experiment, values of cylinder pressure were taken for the approximation of pressure basic waveform. The main task of data processing is smoothing the raw angular speed signal. The noise is due to sensor mount vibrations, signal emitter machining, engine body vibrations, and crankshaft torsional vibrations. Smoothing of the measurement data was carried out by the implementation of the Savitzky-Golay filter. Measured signal after smoothing was compared with the model of IAS run.

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Estimating the Loading Condition of a Diesel Engine Using Instantaneous Angular Speed Analysis

Lecture Notes in Mechanical Engineering - Engineering Asset Management 2011 ◽

10.1007/978-1-4471-4993-4_24 ◽

2013 ◽

pp. 259-272 ◽

Cited By ~ 4

Author(s):

T. R. Lin ◽

A. C. C. Tan ◽

L. Ma ◽

J. Mathew

Keyword(s):

Diesel Engine ◽

Loading Condition ◽

Angular Speed ◽

Instantaneous Angular Speed

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Assessment of the Mechanical Properties of a Diesel Engine Injector

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.630.334 ◽

2014 ◽

Vol 630 ◽

pp. 334-340 ◽

Cited By ~ 3

Author(s):

Andrzej Bąkowski ◽

Jerzy Jaroszewicz ◽

Leszek Radziszewski

Keyword(s):

Mechanical Properties ◽

Diesel Engine ◽

Null Hypothesis ◽

Measurement Data ◽

Engine Performance ◽

Operating Conditions ◽

Friction Forces ◽

The Difference ◽

Performance Results ◽

Pressure Changes

An analytical and experimental model was proposed to determine sac volume pressure changes and fuel doses injected into the diesel engine cylinders. The model takes into account friction forces and identifies the mechanical properties of the injector. The engine performance results were analysed statistically. The results of the Lilliefors, Pearson, Shapiro-Wilk and Jarque-Bera tests provided evidence that, under certain engine operating conditions, the null hypothesis about the compatibility of the measurement data with the normal distribution can be rejected. The measurement uncertainty for the injector needle lift was estimated. The engine was powered with diesel or biofuel. The difference between the measured and the predicted fuel doses amounted to approximately 3%.

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FAULT DETECTION IN A DIESEL ENGINE BY ANALYSING THE INSTANTANEOUS ANGULAR SPEED

Mechanical Systems and Signal Processing ◽

10.1006/mssp.2000.1344 ◽

2001 ◽

Vol 15 (3) ◽

pp. 549-564 ◽

Cited By ~ 77

Author(s):

JIANGUO YANG ◽

LIJUN PU ◽

ZHIHUA WANG ◽

YICHEN ZHOU ◽

XINPING YAN

Keyword(s):

Diesel Engine ◽

Fault Detection ◽

Angular Speed ◽

Instantaneous Angular Speed

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Condition monitoring and fault diagnosis of diesel engines using instantaneous angular speed analysis

Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science ◽

10.1177/0954406214533253 ◽

2014 ◽

Vol 229 (2) ◽

pp. 304-315 ◽

Cited By ~ 18

Author(s):

Tian R Lin ◽

Andy CC Tan ◽

Lin Ma ◽

Joseph Mathew

Keyword(s):

Fault Diagnosis ◽

Diesel Engine ◽

Condition Monitoring ◽

Loading Condition ◽

Combustion Process ◽

Engine Performance ◽

Angular Speed ◽

Firing Frequency ◽

Order Component ◽

Engine Operation

Continuous monitoring of diesel engine performance is critical for early detection of fault developments in an engine before they materialize into a functional failure. Instantaneous crank angular speed (IAS) analysis is one of a few non-intrusive condition monitoring techniques that can be utilized for such a task. Furthermore, the technique is more suitable for mass industry deployments than other non-intrusive methods such as vibration and acoustic emission techniques due to the low instrumentation cost, smaller data size and robust signal clarity since IAS is not affected by the engine operation noise and noise from the surrounding environment. A combination of IAS and order analysis was employed in this experimental study and the major order component of the IAS spectrum was used for engine loading estimation and fault diagnosis of a four-stroke four-cylinder diesel engine. It was shown that IAS analysis can provide useful information about engine speed variation caused by changing piston momentum and crankshaft acceleration during the engine combustion process. It was also found that the major order component of the IAS spectra directly associated with the engine firing frequency (at twice the mean shaft rotating speed) can be utilized to estimate engine loading condition regardless of whether the engine is operating at healthy condition or with faults. The amplitude of this order component follows a distinctive exponential curve as the loading condition changes. A mathematical relationship was then established in the paper to estimate the engine power output based on the amplitude of this order component of the IAS spectrum. It was further illustrated that IAS technique can be employed for the detection of a simulated exhaust valve fault in this study.

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