Quantitative Evaluation on Valve Leakage of Reciprocating Compressor Using System Characteristic Diagnosis Method

Han, Liubang; Jiang, Kuosheng; Wang, Qidong; Xuan-yao, Wang; Zhou, Yuanyuan

doi:10.3390/app10061946

Cited by 10 publications

(5 citation statements)

References 50 publications

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“…These data allow for validating the applied mathematical model (3). Particularly, according to the recommendations about quantitative evaluation on valve leakage of the reciprocating compressor using the system characteristic diagnosis method [21], the following correlation coefficient has been calculated:…”

Section: Parameter Identification Of the Mathematical Modelmentioning

confidence: 99%

Impact of Nitrocarburizing on Hardening of Reciprocating Compressor’s Valves

et al. 2022

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One of the urgent problems in reciprocating machinery is ensuring the functional properties of direct-flow valves. Coatings of these parts should increase energy efficiency, reduce compressed gas temperature, and increase compressor performance. In this article, the effect of nitrocarburizing in pastes on increasing the performance and resource of such valves was studied. The primary research methods were metallographic and electron-metallographic research of the surface layer structure of steel 60Si2Cr. Comparison with similar characteristics obtained for stainless steel 09Cr15Ni8Al was also performed. As a result, it was determined that nitrocarburizing of carbon spring steel 60Si2Cr leads to a greater depth of the diffusion layer than nitrocarburizing of alloyed chromium-nickel steel 09Cr15Ni8Al. Simultaneously, the diffusion layers of both types of steel are almost the same. Simultaneously, the increase in the endurance limit of 60Si2Cr steel during nitrocarburizing is about 1.3 times compared to untreated material. Finally, the predictive maintenance showed that the evaluated lifetime of nitrocarburized valves increases by 5.7 times compared with untreated valves.

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Section: Parameter Identification Of the Mathematical Modelmentioning

confidence: 99%

Impact of Nitrocarburizing on Hardening of Reciprocating Compressor’s Valves

et al. 2022

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“…The influence of input of different channel signal combinations on the model diagnosis accuracy was compared, and the optimal signal combination was selected finally. Han et al 12 proposed a quantitative diagnosis method for valve leakage of reciprocating compressors based on the system feature diagnosis method, and the application results show that this method can realize the quantitative diagnosis of valve leakage faults. Sim et al 13 obtained the characteristics of acoustic emission signals of compressors under different valve conditions, and conducted statistical analysis of acoustic emission root mean square, acoustic emission factor, acoustic emission variance and acoustic emission kurtosis.…”

Section: Introductionmentioning

confidence: 99%

A new method for reciprocating compressor fault diagnosis based on indicator diagram feature extraction

Zhu

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part A:

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The damage of vulnerable components inside the cylinder of reciprocating compressor, including the valve, piston ring, packing and piston ring, will cause the unexpected shutdown of the compressor unit. The indicator diagram which reflects the thermodynamic process in the cylinder is suitable for fault diagnosis of vulnerable components. However, most of the published fault diagnosis methods based on indicator diagram are aimed at the fault diagnosis of gas valve. In addition, the extracted features lack physical meaning in most fault diagnosis methods using machine learning algorithm, which is not conducive to be widely applied in practical engineering. In this study, features with definite physical meaning, including average suction pressure, average discharge pressure, area of indicator diagram and centroid coordinates of indicator diagram, are extracted from indicator diagram, and the threshold database of features under normal states and various fault states is established according to the contrast experiment. The results of the experiment show that the thresholds of the extracted parameters are obviously different under normal states and various fault states. During fault diagnosis, several groups of indicator diagrams of the compressor to be diagnosed are collected at first. After feature extraction, the extracted features are compared with the thresholds under different compressor states to obtain the average numbers of features within the threshold range under different compressor states to determine the compressor states. The accuracy of the method for judging whether the compressor is faulty or normal could reach 98.3%. Furthermore, the accuracy of identifying individual faulty components and multiple faulty components could reach 86.86%. The reason for the low overall diagnostic accuracy is that certain faults have similar effects on the features extracted from indicator diagram. The proposed method is believed as an excellent fault diagnosis method for the vulnerable components inside the cylinder of reciprocating compressor.

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“…In industry, reciprocating compressors are widely used [1], for instance, in refrigeration [2], air compression [3,4], petrochemical industry [5], and liquefied natural gas [6].…”

Section: Introductionmentioning

confidence: 99%

Investigation on Dynamic Characteristics of the Reed Valve in Compressors Based on Fluid-Structure Interaction Method

Wang

Jin

et al. 2021

Applied Sciences

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The flow in the gap between the reed and the valve seat has a significant influence on the dynamic characteristics of the reed valve used in reciprocating compressors. The fluid–structure interaction (FSI) method is an effective method for studying reciprocating compressors. A three-dimensional FSI model of a reciprocating compressor with a reed valve is established in this paper, which has an important influence on the flow rate characteristic of reciprocating compressors. Furthermore, an experimental investigation is implemented to verify the FSI model. Based on the established FSI model, the pressure distribution on the reed valve surface is identified by varying the height of the suction valve limiter and the rotational speed of the compressor, which has an important effect on the dynamic characteristics of the reed valve. Although the low-pressure region, due to the Bernoulli effect on the surface of the reed, hinders the rapid opening of the valve to some extent, it is obviously beneficial to the timely closure of the valve and increases the volumetric efficiency of the compressor. Moreover, the optimal height of the valve limiter and the appropriate rotational speed of the compressor are obtained.

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Quantitative Evaluation on Valve Leakage of Reciprocating Compressor Using System Characteristic Diagnosis Method

Cited by 10 publications

References 50 publications

Impact of Nitrocarburizing on Hardening of Reciprocating Compressor’s Valves

Impact of Nitrocarburizing on Hardening of Reciprocating Compressor’s Valves

A new method for reciprocating compressor fault diagnosis based on indicator diagram feature extraction

Investigation on Dynamic Characteristics of the Reed Valve in Compressors Based on Fluid-Structure Interaction Method

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