A review of condition monitoring and fault diagnosis for diesel engines

Abstract

Technical advances and environmental legislation in recent years have stimulated the development of a number of techniques for condition monitoring and fault diagnosis (CMFD) in diesel engines. This paper firstly summarises common faults, fault mechanisms and their effect on diesel engine performance. Corresponding measurands are presented. Standard CMFD methods for parameters and CMFD systems for diesel engines are reviewed. Finally, some advanced CMFD techniques, including neural networks and fuzzy logic, which may be more powerful, are discussed.

Condition Monitoring of CI Engine Running on Biodiesel Using Transient Process

“…There are many approaches used for internal combustion condition monitoring and fault diagnostic systems, such as Ferrographic Oil Analysis, Rotary Particle Depositor (RPD), Particle Quantifier (PQ), Spectrometric Oil Analysis, Image Analyser Systems, Contamination, Diesel Engine Fault Diagnosis (DEFD) system of Lloyd's Register, Knowledge-Based system for Marine Engine Diagnosis (KBMED), and Condition/Performance Monitoring and Predictive System for Diesel Engines (CPMPS) [2]. CPMPS is the current most powerful performance analysis based engine diagnostic method.…”

“…Traditionally engine maintenance is carried out as per the plan developed by the manufacturer and since this method can turn out to be post-failure maintenance in several cases, the condition monitoring maintenance has become more popular [1]. Jones and Li [2] have summarized that the main consequence of faults in diesel engines as the power loss, emission quality deterioration, noise and vibration, and thermal overload in cylinder. Generally, the causes of fault, the fault consequence and performance parameters measured for typical condition monitoring operations for a diesel engine are shown in figure 1.…”

“…However, a typical diesel engine may work under different ambient conditions, loads, and other dynamic features reflecting a transient nature of operation [2]. These operating conditions have wide ranging effects on performance characteristics of the engines.…”

Model-Based Condition and State Monitoring of Large Marine Diesel Engines

“…Condition monitoring and fault diagnosis represent a valuable set of methods designed to ensure that the engine stays in good condition during its lifecycle, [7] and [13]. Diagnosis in the context of diesel engines is not new and various approaches have been proposed in the past years, however, recent technical and computational advances and environmental legislation have stimulated the development of more efficient and robust techniques.…”

“…A topical review on different fault diagnosis methods for condition monitoring can be found in [7]. Both standard methods (Fourier analysis of pressure, torque, power, crankshaft speed and vibration signals) and advanced methods (neural networks, fuzzy techniques) are encountered and briefly described.…”