Results 101 to 110 of about 2,770 (203)

Standards Related to Prognostics and Health Management (PHM) for Manufacturing

, 2014
Gregory W. Vogl, Brian A. Weiss, M. Alkan Donmez   +2 more
openaire   +1 more source

Expected First Occurrence Time of Uncertain Future Events in One-Dimensional Linear Systems

The rapid advancement of machine learning algorithms has significantly enhanced tools for monitoring system health, making data-driven approaches predominant in Prognostics and Health Management (PHM). In contrast, model-based approaches have seen modest
Acuña Ureta, David Esteban, Orchard, Marcos E., Fuentealba Secul, Diego Ignacio   +2 more
core   +1 more source

From Signals to Remaining Useful Life: Multimodal Sensor Fusion for Fault Diagnosis and Prognostics-Methods, Pitfalls, and Reporting Standards. [PDF]

Sensors (Basel)
Pană CF, Maican CA, Vrăjitoru NR, Pătrașcu-Pană DM, Rădulescu VM.   +4 more
europepmc   +1 more source

Advances and Challenges in Prognostics and Health Management: Need for Interdisciplinary Teaching and Learning

, 2017
Prognostics and Health Management (PHM) is an emerging engineering discipline, which requires comprehensive knowledge from the area of engineering, statistics, and management.
Kwon, Daeil
core  

SAMS-Net: A Smoothness-Anchored Monotone Neural Differential Equation Network for Failure-Only-Supervised Structural Health Indicator Construction. [PDF]

Sensors (Basel)
Yang Y, Xu C, Li X.
europepmc   +1 more source

Increasing Robustness of Data-Driven Fault Diagnostics with Knowledge Graphs

In the realm of prognostics and health management (PHM), it is common to possess not only process data but also domain knowledge, which, if integrated into data-driven algorithms, can aid in solving specific tasks.
Bock, Jürgen, Huber, Marco F., Radtke, Maximilian-Peter   +2 more
core  

A prognostics and health management method for instrumentation system remanufacturing

, 2015
Remanufacturing can effectively help reduce the environmental burden considering that it reduces both the natural resources needed and the waste produced.
Xu AD(徐皑冬), Pecht, Michael, Tian, Jing, Wang K(王锴)   +3 more
core  

A novel global health index framework for asset prognostics and health management in the oil and gas industry. [PDF]

Sci Rep
Alfahdi K, Gultekin H, Summad E.
europepmc   +1 more source

Risk-sensitive joint inventory-maintenance strategy for bearing health management under prognostic uncertainty: an uncertainty-aware deep reinforcement learning approach. [PDF]

Sci Rep
Zhang Z, Shen N, Wang X.
europepmc   +1 more source

Turbofan Engine Remaining Useful Life Prediction with Reliable Prediction Intervals via LSTM-Based Quantile Regression and Conformal Calibration. [PDF]

Sensors (Basel)
Diao R, Zhou M, Meng G, Wang S.
europepmc   +1 more source