Results 61 to 70 of about 5,183 (209)

Marine Systems and Equipment Prognostics and Health Management: A Systematic Review from Health Condition Monitoring to Maintenance Strategy

Machines, 2022
Prognostics and health management (PHM) is an essential means to optimize resource allocation and improve the intelligent operation and maintenance (O&M) efficiency of marine systems and equipment (MSAE).
Peng Zhang, Zeyu Gao, Lele Cao, Fangyang Dong, Yongjiu Zou, Kai Wang, Yuewen Zhang, Peiting Sun   +7 more
doaj   +1 more source

Enabling electronic prognostics using thermal data [PDF]

, 2006
Prognostics is a process of assessing the extent of deviation or degradation of a product from its expected normal operating condition, and then, based on continuous monitoring, predicting the future reliability of the product. By being able to determine
Pecht, M., Vchare, N.
core   +1 more source

Global field trials show the advantages of beta regression compared with logit transformation and quasi‐likelihood for the analysis of percentage plant disease severity

Annals of Applied Biology, Volume 188, Issue 3, Page 904-916, May 2026.
Disease severity in crop protection field trials is commonly assessed as a proportion represented as a percentage. Traditional statistical analysis uses transformation to logit or angle. This study compares analyses based on the beta distribution and the quasi‐likelihood method with the logit transform using a large global data set of field trials ...
Boby Mathew, Peter D. Lancashire, Marc J. M. Rutten   +2 more
wiley   +1 more source

Power Transformer Prognostics and Health Management Using Machine Learning: A Review and Future Directions

Machines
Power transformers (PTs) play a vital role in the electrical power system. Assessing their health to predict their remaining useful life is essential to optimise maintenance.
Ryad Zemouri
doaj   +1 more source

Overview of Explainable Artificial Intelligence for Prognostic and Health Management of Industrial Assets Based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses

Sensors, 2021
Surveys on explainable artificial intelligence (XAI) are related to biology, clinical trials, fintech management, medicine, neurorobotics, and psychology, among others.
Ahmad Kamal Mohd Nor, Srinivasa Rao Pedapati, Masdi Muhammad, Víctor Leiva   +3 more
doaj   +1 more source

Selection and Validation of Health Indicators in Prognostics and Health Management System Design [PDF]

, 2013
Health Monitoring is the science of system health status evaluation. In the modern industrial world, it is getting more and more importance because it is a powerful tool to increase systems dependability.
LAMOUREUX, Benjamin, MASSÉ, Jean-Rémi, MECHBAL, Nazih   +2 more
core   +6 more sources

Vaccination Coverage and Factors Associated With Incomplete Vaccination Schedules in Children Under 5 in a Peripheral Area of the Federal District of Brazil

Public Health Nursing, Volume 43, Issue 3, Page 543-553, May/June 2026.
ABSTRACT Objective To estimate vaccination coverage (VC) and analyze the factors associated with the incomplete vaccination schedule (IVS) in children under 5 years of age in two Basic Health Units in the Federal District of Brazil. Design A cross‐sectional study.
Ivea Rayane Mendes Nicacio Viana, Henry Maia Peixoto   +1 more
wiley   +1 more source

Review on Lithium-ion Battery PHM from the Perspective of Key PHM Steps

Chinese Journal of Mechanical Engineering
Prognostics and health management (PHM) has gotten considerable attention in the background of Industry 4.0. Battery PHM contributes to the reliable and safe operation of electric devices.
Jinzhen Kong, Jie Liu, Jingzhe Zhu, Xi Zhang, Kwok-Leung Tsui, Zhike Peng, Dong Wang   +6 more
doaj   +1 more source

On Continuing Professional Development for Prognostics and Health Management Practitioners

International Journal of Prognostics and Health Management, 2014
The Prognostics and Health Management Society has as one its principles the advancement of PHM as an engineering discipline. A key factor in this advancement would be helping PHM practitioners to be life-long learners and professionals.
Jeff Bird
doaj   +1 more source

A Novel Ensemble Machine Learning Approach for Interpretable Modeling, Feature Extraction and Selection With Applications to Medical and Biomedical Signals and Data

Concurrency and Computation: Practice and Experience, Volume 38, Issue 8, April 2026.
ABSTRACT Feature extraction and selection are crucial in biomedical data analysis to address high dimensionality, reduce computational complexity, and enhance model interpretability. However, traditional methods often focus on individual feature importance, overlooking complex inter‐feature relationships, especially when processing and modeling dynamic
Bo Sun, Hua‐Liang Wei
wiley   +1 more source