Condition monitoring technologies, parameters and data processing techniques for fault detection of internal combustion engines: A literature review

The automotive engine contains different systems that operate to fulfill the continuous function of the combustion. To insure un-interrupted function and optimal performance, various types of condition monitoring technologies are being used with different new advanced data processing techniques. Based on the results of a comprehensive literature review it was found that there is scarce research dealing with CM technologies and soft computing methods used with automotive engines. Thus, the purpose of this paper is to conduct an up-to-date literature review of the CM technologies used with internal combustion engines and identify the fault detection and diagnostic methods used in this context. Consequently, it was found that literature concentrate on four types of condition monitoring technologies and four operational parameters when it comes to multi-sensor diagnosis of engine systems. The paper also highlights the data processing techniques that is not much utilized in this topic.