Testing is the premise and foundation of realizing equipment health management （EHM）. To address the problem that the static periodic test strategy may cause deficient test or excessive test, a dynamic sequential te...Testing is the premise and foundation of realizing equipment health management （EHM）. To address the problem that the static periodic test strategy may cause deficient test or excessive test, a dynamic sequential test strategy （DSTS） for EHM is presented. Considering the situation that equipment health state is not completely observable in reality, a DSTS optimization method based on partially observable semi-Markov decision pro- cess （POSMDP） is proposed. Firstly, an equipment health state degradation model is constructed by Markov process, and the control limit maintenance policy is also introduced. Secondly, POSMDP is formulated in great detail. And then, POSMDP is converted to completely observable belief semi-Markov decision process （BSMDP） through belief state. The optimal equation and the corresponding optimal DSTS, which minimize the long-run ex- pected average cost per unit time, are obtained with BSMDP. The results of application in complex equipment show that the proposed DSTS is feasible and effective.展开更多
In order to solve information island problem of offshore oil and gas field production-related information system,including repetitive reporting and input of data,data isolation of central control system,inadequate fol...In order to solve information island problem of offshore oil and gas field production-related information system,including repetitive reporting and input of data,data isolation of central control system,inadequate follow-up analysis and development to support oil and gas field production management,and so on.Therefore,the introduction of MES(Manufacturing Execution System)production execution system in the manufacturing industry and downstream production of offshore oil has become an inevitable choice.This system utilizes the real-time database combined with relational database to collect the scattered structured data,such as the production process real-time data,production management documents and statistical tables of offshore oil and gas production facilities.It establishes a unified data center platform for each operation area and production site,so as to centralize the related production management data at production sites.This system realizes many functions,including the production management support like production report generation as well as presentation and POB,equipment management support like PM optimization,remote configuration and monitoring of production operation,status trend analysis,and production event prediction.The implementation of MES system in offshore oil and gas field production management perfects the overall information system of China National Offshore Oil Corporation more and gradually enhances its comprehensive benefits.展开更多
基金supported by the National Natural Science Foundation of China (51175502)
文摘Testing is the premise and foundation of realizing equipment health management （EHM）. To address the problem that the static periodic test strategy may cause deficient test or excessive test, a dynamic sequential test strategy （DSTS） for EHM is presented. Considering the situation that equipment health state is not completely observable in reality, a DSTS optimization method based on partially observable semi-Markov decision pro- cess （POSMDP） is proposed. Firstly, an equipment health state degradation model is constructed by Markov process, and the control limit maintenance policy is also introduced. Secondly, POSMDP is formulated in great detail. And then, POSMDP is converted to completely observable belief semi-Markov decision process （BSMDP） through belief state. The optimal equation and the corresponding optimal DSTS, which minimize the long-run ex- pected average cost per unit time, are obtained with BSMDP. The results of application in complex equipment show that the proposed DSTS is feasible and effective.
文摘In order to solve information island problem of offshore oil and gas field production-related information system,including repetitive reporting and input of data,data isolation of central control system,inadequate follow-up analysis and development to support oil and gas field production management,and so on.Therefore,the introduction of MES(Manufacturing Execution System)production execution system in the manufacturing industry and downstream production of offshore oil has become an inevitable choice.This system utilizes the real-time database combined with relational database to collect the scattered structured data,such as the production process real-time data,production management documents and statistical tables of offshore oil and gas production facilities.It establishes a unified data center platform for each operation area and production site,so as to centralize the related production management data at production sites.This system realizes many functions,including the production management support like production report generation as well as presentation and POB,equipment management support like PM optimization,remote configuration and monitoring of production operation,status trend analysis,and production event prediction.The implementation of MES system in offshore oil and gas field production management perfects the overall information system of China National Offshore Oil Corporation more and gradually enhances its comprehensive benefits.
