A review on combustion and vibration condition monitoring of IC engine

Nithin, S.K.; Hemanth, K.; Shamanth, V.

doi:10.1016/j.matpr.2020.10.093

Cited by 9 publications

(5 citation statements)

References 7 publications

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“…By understanding these dynamics, it can be concluded that in the form of wear particles, chemical pollutants, and other information, the lubricant also transports information from the inside to the exterior of functioning. These signals from the engine can be captured by understanding the vibrational behaviour of engines [27]. Vibro-acoustic studies have proven their ability to measure the failure of components [27].…”

Section: Literature Reviewmentioning

confidence: 99%

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Comparative study of vibration signatures by correlating them with engine oil degradation for diesel and blended fuel DBD20 in a CI engine

2023

IJATEE

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The use of biofuels as a sustainable alternative to fossil fuels has garnered significant attention. However, several factors, including oil degradation, can impact the effectiveness of biofuels. It is recommended to regularly change and maintain the oil to minimize the impact of oil degradation on biofuel performance. This can be achieved by monitoring the engine's vibration signature without draining any oil from the engine. This study aimed to investigate the correlation between engine vibration signatures and the degradation of lubricating oil. A 5 horse power (HP) compression ignition (CI) engine fuelled with a mixture of 80% diesel and 20% biodiesel, referred to as diesel biodiesel (DBD)20, was used for the study. The engine operated at a steady load, equivalent to 50% of its rated power at 1500 rpm. The vibration signatures, including amplitude and frequency of vibration in the longitudinal direction, were recorded at regular intervals of 2 hours using an accelerometer placed on top of the engine head. Samples of used lubricating oil were collected every 20 hours of operation, and properties such as viscosity, density, soot content, and moisture were measured and compared with the vibration signatures. The analysis revealed distinguishable differences in vibration signatures and lubricating oil properties between diesel and DBD fuelled engines. The findings indicated a significant decline in oil quality and corresponding vibration signatures after 80 hours of engine operation. Therefore, it is recommended to replace the engine oil every 80 hours of engine run for stationary field engines.

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Section: Literature Reviewmentioning

confidence: 99%

“…These signals from the engine can be captured by understanding the vibrational behaviour of engines [27]. Vibro-acoustic studies have proven their ability to measure the failure of components [27]. The engine response in terms of vibration provides much information concerning fault condition of individual components in an assembly.…”

Section: Literature Reviewmentioning

confidence: 99%

Comparative study of vibration signatures by correlating them with engine oil degradation for diesel and blended fuel DBD20 in a CI engine

2023

IJATEE

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“…Wang et al [12] commented on the need for monitoring devices in wind turbine generator sets and also presented a detailed review of the classification procedure and various techniques in different stages that are associated with it. Nithin et al [13] demonstrates the analysis of vibration signals from IC engines by carrying out feature extraction. An efficiency of 100% is achieved by Brkovic et al [14] in early fault detection of rotating machines using quadratic classifiers.…”

Section: Introductionmentioning

confidence: 99%

Internal combustion engine gearbox bearing fault prediction using J48 and random forest classifier

Kapanigowda

Hemanth

Shamanth

et al. 2023

IJECE

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<span lang="EN-US">Defective bearings in four-stroke engines can compromise performance and efficiency. Early detection of bearing difficulties in 4-stroke engines is critical. Four-stroke gasoline engines that vibrate or make noise can be used to diagnose issues. Using time, frequency, and time-frequency domain approaches, the vibrational features of healthy and diseased tissues are examined. Problems are only detectable by vibration or sound. The fault is identified through statistical analysis of seismic and audio data using frequency and time-frequency analysis. Vibration must be minimized prior to examination. Adaptive noise cancellation removes unwanted noise from recorded vibration signals, boosting the signal-to-noise ratio (SNR). In the first of the experiment's three phases, vibrational data are collected. To reduce noise and boost SNR, adaptive noise cancellation (ANC) is applied to vibration data from the first stage. In the second stage, ANC-filtered vibration data is subjected to three studies to detect bearing failure using J48 and random forest classifiers for online, real-time monitoring. In this experiment, one healthy and two faulty bearings are used. According to a current study, the internet of things (IoT) is a promising alternative for online monitoring of remote body health.</span>

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“…Accurate real-time assessment of the engine status can help avoid lapses in operation by emergency shutdowns, major maintenance works, and catastrophic accidents, significantly saving cost and resources. Methods, such as vibration analysis, infrared thermography, ultrasound, acoustic emissions, etc., are commonly and regularly employed in this regard [1][2][3][4][5]. However, the detection of possible faults with these methods often involves complex data acquisition and assessment steps.…”

Section: Introductionmentioning

confidence: 99%

The Optimization of Parallel Resonance Circuit for Wear Debris Detection by Adjusting Capacitance

Liu

Raihan

et al. 2022

Energies

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Wear debris in lubrication oil provides important information for marine engine condition monitoring and faults diagnosis. Inductive sensors have been widely used to detect wear debris in lubrication oil. To improve the sensitivity, the inductive coil is always connected with a capacitor in parallel to form parallel LC resonance-sensing circuit. A previous study optimized the parallel resonance circuit by adjusting the excitation frequency. However, multiple parameters (namely, excitation signal, signal detection circuits, and signal-processing program, etc.) need to be adjusted accordingly for a series of the testing frequencies. To simplify the optimization, we propose a method based on adjusting the parallel capacitance in this work. The impedance (inductance and internal resistance) of the sensing coil and its variation induced by particles are first measured, which are the necessary parameters for establishing the function relationship between the parallel capacitance and the relative impedance variation. With the function relationship, the relative impedance variation is calculated directly, and the optimal capacitance is located at the highest absolute value of it. The experimental results for the ferrous and nonferrous particles match the calculation results well. Interestingly, the optimal capacitance for the nonferrous particle was larger than that of the ferrous particle. We speculate that the difference is generated due to the increased resistance induced by the eddy current effect.

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A review on combustion and vibration condition monitoring of IC engine

Cited by 9 publications

References 7 publications

Comparative study of vibration signatures by correlating them with engine oil degradation for diesel and blended fuel DBD20 in a CI engine

Comparative study of vibration signatures by correlating them with engine oil degradation for diesel and blended fuel DBD20 in a CI engine

Internal combustion engine gearbox bearing fault prediction using J48 and random forest classifier

The Optimization of Parallel Resonance Circuit for Wear Debris Detection by Adjusting Capacitance

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