As a type of reciprocating machine, the reciprocating compressor has a compact structure and many excitation sources.Once the small end bearing of the connecting rod is worn, it is easy to cause the sintering of the b...As a type of reciprocating machine, the reciprocating compressor has a compact structure and many excitation sources.Once the small end bearing of the connecting rod is worn, it is easy to cause the sintering of the bearing and the abnormal vibration of the body.Based on the characteristics of poor lubrication state and complex force of connecting rod small head bearing, a mixed lubrication model considering oil groove feed was established, and the dynamic simulation of the reciprocating compressor model with lubricated bearings was carried out;considering different speeds and gas load conditions, the law of the impact of the eigenvalues changing with working conditions was explored.The fault simulation experiment was carried out by selecting representative working conditions, which verified the correctness of the simulation method.The study found that two contact collisions between the pin and the bearing bush occurred in one cycle, the collision impact was more severe under the wear fault, and the existence of the gap made the dynamic response more sensitive to the change of working conditions.This research provides ideas for the location and feature extraction of fault symptom signal angular segments in the process of complex measured signal processing.展开更多
In order to solve the problem of low prediction accuracy when only vibration or oil signal is used to predict the remaining life of gear wear,a gear wear life feature fusion prediction method based on temporal pattern...In order to solve the problem of low prediction accuracy when only vibration or oil signal is used to predict the remaining life of gear wear,a gear wear life feature fusion prediction method based on temporal pattern attention mechanism is proposed.Firstly,deep residual shrinkage network(DRSN)is used to extract the features of the original vibration time series signals with low signal-tonoise ratio,and the vibration features associated with gear wear evolution are obtained.Secondly,the extracted vibration features and the oil monitoring data that can intuitively reflect the wear process information are jointly input into the bi-directional long short-term memory neural network based on temporal pattern attention mechanism(TPA-BiLSTM),the complex nonlinear relationship between vibration features,oil features and gear wear process evolution is further explored to improve the prediction accuracy.The gear life cycle dynamic response and wear process signals are obtained based on the gear numerical simulation model,and the feasibility of the proposed method is verified.Finally,the proposed method is applied to the residual life prediction of gear on a test bench,and the comparison between different methods proved the validity of the proposed method.展开更多
The friction and wear properties,as well as the scuffing resistance,of different piston-ring coatings mating with a chrome-plated cylinder liner were investigated.Interrupted wear tests under the lubricant starvation ...The friction and wear properties,as well as the scuffing resistance,of different piston-ring coatings mating with a chrome-plated cylinder liner were investigated.Interrupted wear tests under the lubricant starvation condition were conducted to examine the wear behavior of Cr-diamond coating(GDC)and diamond-like coating(DLC).The results indicated that the DLC coating had outstanding tribological properties(small coefficient of friction and wear loss)at 150°C,while the GDC coating exhibited better performance at an elevated temperature(240°C).The DLC coating had a better scuffing resistance;no material adhesion occurred for 70 min under the unlubricated condition.The interrupted wear behaviors revealed that the scuffing process of the GDC coating involved the consumption of lubricant oil with relatively stable wear,a reduction in the friction force,and the occurrence of scuffing,in sequence.In contrast,although the friction force also increased after a short period of weak friction,no scuffing was observed.This is attributed to the formation of a mixed oxide and graphitic C tribolayer.展开更多
基金Supported by the National Natural Science Foundation of China (No.52101343)。
文摘As a type of reciprocating machine, the reciprocating compressor has a compact structure and many excitation sources.Once the small end bearing of the connecting rod is worn, it is easy to cause the sintering of the bearing and the abnormal vibration of the body.Based on the characteristics of poor lubrication state and complex force of connecting rod small head bearing, a mixed lubrication model considering oil groove feed was established, and the dynamic simulation of the reciprocating compressor model with lubricated bearings was carried out;considering different speeds and gas load conditions, the law of the impact of the eigenvalues changing with working conditions was explored.The fault simulation experiment was carried out by selecting representative working conditions, which verified the correctness of the simulation method.The study found that two contact collisions between the pin and the bearing bush occurred in one cycle, the collision impact was more severe under the wear fault, and the existence of the gap made the dynamic response more sensitive to the change of working conditions.This research provides ideas for the location and feature extraction of fault symptom signal angular segments in the process of complex measured signal processing.
基金Supported by the National Natural Science Foundation of China(No.52101343)the Aeronautical Science Foundation(ASFC)(No.201834S9002)Chongqing Technology Innovation and Application Development Special General Project(No.cstc2020jscx-msxm0411).
文摘In order to solve the problem of low prediction accuracy when only vibration or oil signal is used to predict the remaining life of gear wear,a gear wear life feature fusion prediction method based on temporal pattern attention mechanism is proposed.Firstly,deep residual shrinkage network(DRSN)is used to extract the features of the original vibration time series signals with low signal-tonoise ratio,and the vibration features associated with gear wear evolution are obtained.Secondly,the extracted vibration features and the oil monitoring data that can intuitively reflect the wear process information are jointly input into the bi-directional long short-term memory neural network based on temporal pattern attention mechanism(TPA-BiLSTM),the complex nonlinear relationship between vibration features,oil features and gear wear process evolution is further explored to improve the prediction accuracy.The gear life cycle dynamic response and wear process signals are obtained based on the gear numerical simulation model,and the feasibility of the proposed method is verified.Finally,the proposed method is applied to the residual life prediction of gear on a test bench,and the comparison between different methods proved the validity of the proposed method.
基金Project(DLBF2018-KY-JS-066-J)supported by the China North Engine Research InstituteProject(51902239)supported by the National Natural Science Foundation of China+3 种基金Project(2020JQ-808)supported by the Science and Technology Fund of Shaanxi Province,ChinaProjects(19JK0400,19JK0402)supported by the Education Fund of Shaanxi Province,ChinaProject(S202010702070)supported by the Innovation and Entrepreneurship Training Program for College Students,ChinaProject supported by the Youth Innovation Team of Shaanxi Universities:Metal Corrosion Protection and Surface Engineering Technology,China。
基金Project(DLBF2018-KY-JS-066-J)supported by China North Engine Research InstituteProject(XAGDXJJ17008)supported by the Principal Fund of Xi’an Technological University,ChinaProjects(19JK0400,19JK0402)supported by the Education Fund of Shaanxi Province,China。
基金This research was supported by the Natural Science Foundation of Liaoning Province(2019-ZD-0165 and 2020-HYLH-47)the China Postdoctoral Science Foundation(2020M670729)the National Natural Science Foundation of China(51979018).
文摘The friction and wear properties,as well as the scuffing resistance,of different piston-ring coatings mating with a chrome-plated cylinder liner were investigated.Interrupted wear tests under the lubricant starvation condition were conducted to examine the wear behavior of Cr-diamond coating(GDC)and diamond-like coating(DLC).The results indicated that the DLC coating had outstanding tribological properties(small coefficient of friction and wear loss)at 150°C,while the GDC coating exhibited better performance at an elevated temperature(240°C).The DLC coating had a better scuffing resistance;no material adhesion occurred for 70 min under the unlubricated condition.The interrupted wear behaviors revealed that the scuffing process of the GDC coating involved the consumption of lubricant oil with relatively stable wear,a reduction in the friction force,and the occurrence of scuffing,in sequence.In contrast,although the friction force also increased after a short period of weak friction,no scuffing was observed.This is attributed to the formation of a mixed oxide and graphitic C tribolayer.