Diesel Engine Fault Diagnosis  with Vibration Signal

Tharanga, K. L. P; Liu, Shuyong; Zhang, Shuai; Wang, Yuan

doi:10.4236/jamp.2020.89151

Cited by 9 publications

(8 citation statements)

References 20 publications

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“…Second, with the increase of time scale factors, the length of the coarse-graining time series decrease, which results in the significant fluctuation of entropy values in the large time scale factors. 6,9…”

Section: Methodsmentioning

confidence: 99%

“…5 Among these methods, due to the abundant working information about the reciprocating and rotating motion, cyclic impacts, and gas-liquid-solid interaction can be provided, the vibration analysis-based methods have been widely used and proved to be excellent diagnosis performance. 6 Thus, the vibration analysis-based methods for diesel engine faults diagnosis are focused on in the paper.…”

Section: Introductionmentioning

confidence: 99%

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Refined composite multiscale fuzzy entropy based fault diagnosis of diesel engine

Zhang

Zhu

et al. 2022

Journal of Low Frequency Noise, Vibration and Active Control

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Due to complicated transfer paths and strong background noise interference, the fault pattern information deeply hides in common features of the vibration signal at the engine surface. In this study, the refined composite multiscale fuzzy entropy (RCMFE) used to measure the irregularity and self-similarity of time series is proposed to quantify the feature of various fault patterns. Followed by RCMFE, the features dug out are recognized by a parameter-adaptive support vector machine based on the firefly algorithm (FASVM). After putting forward the diagnosing schematics, the RCMFE-FASVM is applied to a fault diagnosis case of a diesel engine on a test rig. A comparative analysis of the four methods to extract features and the four methods to recognize fault patterns are conducted. Results indicate the proposed method has superior recognition performance and can effectively identify the working states of the diesel engine, contrasting the existing methods. Under the small samples and features task of identifying the working states of a diesel engine, the recognition rate of the proposed method with more stability can reach 98.2%, which is larger than other methods. Given the superior performance of the proposed method, the number of input features and training samples should vary from 8 to 20 and from 35 to 50.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Refined composite multiscale fuzzy entropy based fault diagnosis of diesel engine

Zhang

Zhu

et al. 2022

Journal of Low Frequency Noise, Vibration and Active Control

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show abstract

“…However, both the peak and the root-mean-square (RMS) values of the I sc will vary linearly as the changes of v m , which are regarded as the key characteristic parameters of PCTN. The I sc could be derived as Equation (2).…”

Section: Output Characteristics Of the Pctnmentioning

confidence: 99%

“…For this reason, some scholars installed vibration and acoustic sensors on the outer surface of structure to implement nonintrusive condition monitoring. [1][2][3] By analyzing measured data, online condition monitoring and early fault identification of reciprocating components can be realized. However, vibration and acoustic signals are susceptible to external interference from other accessories, introducing errors and affecting diagnostic accuracy.…”

Section: Introductionmentioning

confidence: 99%

A Triboelectric Piston–Cylinder Assembly with Condition‐Monitoring and Self‐Powering Capabilities

Guo

et al. 2022

Energy Tech

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The condition monitoring of piston–cylinder‐reciprocating machinery usually relies on vibration and acoustic sensors installed on the outer surface of cylinders. However, vibration and acoustic signals are susceptible to external interference from other accessories, and require an external power supply, which limits its widespread application. Herein, based on the lateral sliding mode of triboelectric nanogenerator (TENG), a novel reciprocating device with condition‐monitoring and self‐powering capabilities is proposed, called piston–cylinder triboelectric nanogenerator (PCTN). The effects of different factors, including mean piston speed, number of piston rings, materials of piston ring and cylinder, on the output characteristics of PCTN are investigated, respectively. Two typical fault cases, that is, piston ring missing and coil fracture, are investigated to verify the condition‐monitoring capability of PCTN. Piston ring missing faults can be effectively identified based on the variations in peak and root‐mean‐square (RMS) values of short‐circuit current (I sc). Coil fracture faults can be identified and located by analyzing changes in time–domain curve and time–‐frequency spectrum of I sc. Herein, a theoretical and experimental basis for the widespread application of PCTN in reciprocating machinery is provided.

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“…Unbalanced forces at the engine block are produced by variations in combustion pressure during downward motion, and the unbalanced forces at the block are recorded as longitudinal vibrations in three orthogonal directions. [25].…”

Section: Vibration Different Techniquesmentioning

confidence: 99%

A Review on Engine Fault Diagnosis through Vibration Analysis

Abdeltwab¹

2022

IJRMEE

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Vehicles engine failure is disapproved problem for drivers, and repair of that needs experience to identify fault and troubleshooting. The fault diagnosis in a machine is significant for fending off dangerous damage. The vibration signals of a machine always carry the dynamic information of the machine. These vibration signals of internal combustion engines are extremely helpful for the feature extraction and detect the fault diagnosis. The former sensing of defects by supervising can keep farther harm to the internal combustion engine and deflect further causalities. The faults lead to reducing the engine performance and increasing the harmful pollution. In this paper, present techniques of a denoising method for vibration signal analysis that had been proposed such as fast Fourier transform (STFT), higher-order statistics (HOS), Wigner–Ville distribution (WVD), and wavelet transform (WT) and adaptive order-tracking.

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Diesel Engine Fault Diagnosis with Vibration Signal

Cited by 9 publications

References 20 publications

Refined composite multiscale fuzzy entropy based fault diagnosis of diesel engine

Refined composite multiscale fuzzy entropy based fault diagnosis of diesel engine

A Triboelectric Piston–Cylinder Assembly with Condition‐Monitoring and Self‐Powering Capabilities

A Review on Engine Fault Diagnosis through Vibration Analysis

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