Related references
Note: Only part of the references are listed.Surface modification effects on lubricant temperature and floating valve plate motion in an axial piston pump
David Richardson et al.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART J-JOURNAL OF ENGINEERING TRIBOLOGY (2020)
A numerical approach for predicting the remaining useful life of an aviation hydraulic pump based on monitoring abrasive debris generation
Tongyang Li et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2020)
A perturbed gamma degradation process with degradation dependent non-Gaussian measurement errors
Massimiliano Giorgio et al.
APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY (2019)
A Vibration Signal-Based Method for Fault Identification and Classification in Hydraulic Axial Piston Pumps
Paolo Casoli et al.
ENERGIES (2019)
Engineering-driven performance degradation analysis of hydraulic piston pump based on the inverse Gaussian process
Zhonghai Ma et al.
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL (2019)
ASSESSMENT MODEL OF CUTTING TOOL CONDITION FOR REAL-TIME SUPERVISION SYSTEM
Edward Kozlowski et al.
EKSPLOATACJA I NIEZAWODNOSC-MAINTENANCE AND RELIABILITY (2019)
A new leaky piston identification method in an axial piston pump based on the extended Kalman filter
D. Bensaad et al.
MEASUREMENT (2019)
A reliability estimation approach via Wiener degradation model with measurement errors
Donghui Pan et al.
APPLIED MATHEMATICS AND COMPUTATION (2018)
An adaptive-order particle filter for remaining useful life prediction of aviation piston pumps
Tongyang Li et al.
CHINESE JOURNAL OF AERONAUTICS (2018)
A Methodology Based on Cyclostationary Analysis for Fault Detection of Hydraulic Axial Piston Pumps
Paolo Casoli et al.
ENERGIES (2018)
Fault diagnosis on slipper abrasion of axial piston pump based on Extreme Learning Machine
Yuan Lan et al.
MEASUREMENT (2018)
Machinery health prognostics: A systematic review from data acquisition to RUL prediction
Yaguo Lei et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2018)
Brownian motion with adaptive drift for remaining useful life prediction: Revisited
Dong Wang et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2018)
Improved inverse Gaussian process and bootstrap: Degradation and reliability metrics
Jingbo Guo et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2018)
Remaining Useful Life Prediction Based on a General Expression of Stochastic Process Models
Naipeng Li et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2017)
Robust Degradation Analysis With Non-Gaussian Measurement Errors
Qingqing Zhai et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2017)
Remaining useful life prediction based on the Wiener process for an aviation axial piston pump
Xingjian Wang et al.
CHINESE JOURNAL OF AERONAUTICS (2016)
A NOVEL WIENER PROCESS MODEL WITH MEASUREMENT ERRORS FOR DEGRADATION ANALYSIS
Zhihua Wang et al.
EKSPLOATACJA I NIEZAWODNOSC-MAINTENANCE AND RELIABILITY (2016)
Bivariate Analysis of Incomplete Degradation Observations Based on Inverse Gaussian Processes and Copulas
Weiwen Peng et al.
IEEE TRANSACTIONS ON RELIABILITY (2016)
Remaining useful life estimation using an inverse Gaussian degradation model
Donghui Pan et al.
NEUROCOMPUTING (2016)
A perturbed gamma process with statistically dependent measurement errors
Gianpaolo Pulcini
RELIABILITY ENGINEERING & SYSTEM SAFETY (2016)
An Age- and State-Dependent Nonlinear Prognostic Model for Degrading Systems
Zheng-Xin Zhang et al.
IEEE TRANSACTIONS ON RELIABILITY (2015)
Inverse Gaussian process models for degradation analysis: A Bayesian perspective
Weiwen Peng et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2014)
The Inverse Gaussian Process as a Degradation Model
Zhi-Sheng Ye et al.
TECHNOMETRICS (2014)
A degradation path-dependent approach for remaining useful life estimation with an exact and closed-form solution
Xiao-Sheng Si et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2013)