Author of the publication

A multi-stage Wiener process-based prognostic model for equipment considering the influence of imperfect maintenance activities.

, , , , , and . Journal of Intelligent and Fuzzy Systems, 34 (6): 3695-3705 (2018)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

A multi-stage Wiener process-based prognostic model for equipment considering the influence of imperfect maintenance activities., , , , , and . Journal of Intelligent and Fuzzy Systems, 34 (6): 3695-3705 (2018)Ensemble Model for Stock Price Movement Trend Prediction on Different Investing Periods., , , and . CIS, page 358-361. IEEE, (2016)A Deep Neural Network Based on an Attention Mechanism for SAR Ship Detection in Multiscale and Complex Scenarios., , , , and . IEEE Access, (2019)An Adaptive Prognostic Approach for Newly Developed System With Three-Source Variability., , , , , , and . IEEE Access, (2019)Joint Decision for Spare Part Ordering and Equipment Replacement Based on Prognostic Information., , , , , and . CAA SAFEPROCESS, page 1-6. IEEE, (2021)MSARN: A Deep Neural Network Based on an Adaptive Recalibration Mechanism for Multiscale and Arbitrary-Oriented SAR Ship Detection., , , , and . IEEE Access, (2019)Nonlinear Step-Stress Accelerated Degradation Modeling and Remaining Useful Life Estimation Considering Multiple Sources of Variability., , , , , and . IEEE Access, (2019)Remaining Useful Life Prediction for Nonlinear Degraded Equipment With Bivariate Time Scales., , , , , , and . IEEE Access, (2019)SAR Ship Detection Under Complex Background Based on Attention Mechanism., , , , , and . IGTA, volume 1043 of Communications in Computer and Information Science, page 565-578. Springer, (2019)An improved approach to find membership functions and multiple minimum supports in fuzzy data mining., , and . Expert Syst. Appl., 36 (6): 10016-10024 (2009)