Diagnosis of gasoline engines

Isermann, Rolf

doi:10.1007/978-3-662-49467-7_4

Cited by 2 publications

(2 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Diesel engine operation depends on the functioning of its subsystems and components [34]. Any fault they may suffer during the engine's useful life affects the operating condition of the engine to a greater or lesser degree (depending on the nature and type of fault).…”

Section: Fault Simulation Modelmentioning

confidence: 99%

Diesel Engine Fault Prediction Using Artificial Intelligence Regression Methods

et al. 2023

View full text Add to dashboard Cite

Predictive maintenance has been employed to reduce maintenance costs and production losses and to prevent any failure before it occurs. The framework proposed in this work performs diesel engine prognosis by evaluating the absolute value of the failure severity using random forest (RF) and multilayer perceptron (MLP) neural networks. A database was implemented with 3500 failure scenarios to overcome the problem of inducing destructive failures in diesel engines. Diesel engine failure signals were developed with the zero-dimensional thermodynamic model inside a cylinder coupled with the crankshaft torsional vibration model. Artificial neural networks and random forest regression models were employed for classifying and quantifying failures. The methodology was applied alongside an engine simulator to assess effectiveness and accuracy. The best-fitting performance was obtained with the random forest regressor with an RMSE value of 0.10 ± 0.03%.

show abstract

Section: Fault Simulation Modelmentioning

confidence: 99%

Diesel Engine Fault Prediction Using Artificial Intelligence Regression Methods

et al. 2023

View full text Add to dashboard Cite

show abstract

“…In general, these are longstanding and well-developed scientific methods that make it possible to identify various faults by measuring certain parameters and their corresponding mathematical processing. Some diagnostic techniques are used as basic algorithms in a number of diagnostic devices (for example, in motor testers [10]). This really helps to detect various deviations in engine operation and even find the causes of individual malfunctions.…”

Section: Analysis Of the Latest Research And Publicationsmentioning

confidence: 99%

Application of logical methods in expert analysis of automotive engine failures in operation

Khrulev,

Saraiev,

Saraіevа

2023

VEIT

View full text Add to dashboard Cite

Problem. It is known that the causes of failures in automotive engines can be determined based on existing experience in studying various engine malfunctions. However, an analysis of known methods for determining the causes of car engine failures shows that their use in practice, including in diagnosing the technical condition of engines, requires a lot of work and highly qualified personnel that in many cases is practically ineffective. Logical-probabilistic methods are also known, including those based on fault tree analysis. However, it is not possible to use such models and methods in searching for the c auses of engine failure. Goal. The purpose of the study is to create a methodology for determining the causes of faults and failures in engine operation, which can be applied with help of a logical way and applicable not only by the specialists with expert level, but also the wide qualification. Methodology. The solution to this problem was found in several stages. Initially, by structuring the symptoms, a fault tree was constructed that logically describes the cause-and-effect relationships between the failure event and the original damage that caused it. Data from expert studies of engine failures were used to construct the graph. This was done for each of the engine failure types selected for analysis. Next, a modified (inverted) fault tree was developed for a finite number of selected failure types. Results. Obtained logical graphs allow you to perform a simple logical analysis in the opposite direction from the generally accepted one, from the event of a system failure to the basic damage events that cause it. After obtaining logical graphs for each type of failure, a modified engine fault tree can be compiled, common to the considered types of failures. Originality. The proposed method was widely used previously in the study of reliability of various technical systems, however, this method for the first time has been proposed to determine the causes of engine failures. Practical value. As a result of using the proposed methodology in practice, it it became possible to determine the causes of failure in the engine with enough reliability for practice and minimal time expenditure.

show abstract

Diagnosis of gasoline engines

Cited by 2 publications

References 28 publications

Diesel Engine Fault Prediction Using Artificial Intelligence Regression Methods

Diesel Engine Fault Prediction Using Artificial Intelligence Regression Methods

Application of logical methods in expert analysis of automotive engine failures in operation

Contact Info

Product

Resources

About