Results 121 to 130 of about 17,238 (235)

PHM–GPT: A Large Language Model for Prognostics and Health Management

open access: yesEngineering
In the digital transformation era of the fourth industrial revolution, prognostics and health management (PHM) is playing increasingly important roles in various engineering fields.
Jiaxin Ren   +6 more
doaj   +1 more source

API-Based Integration Framework for Dual-LLM Prescriptive Maintenance Report Generation in PHM-Enabled Digital Twin Applications

open access: yes
Digital Twins (DTs) have emerged as key enablers of Prognostics and Health Management (PHM) for predicting asset failures and optimizing maintenance strategies.
Don McGlinchey   +3 more
core   +1 more source

A Scalable and Robust Personal Health Management Textile with Multiple Desired Thermal Functions and Electromagnetic Shielding

open access: yesAdvanced Science
The development of functional textiles combining conventional apparel with advanced technologies for personal health management (PHM) has garnered widespread attention.
Litao Tang   +9 more
doaj   +1 more source

Agentic AI for PHM Pipeline Development: A Human-Supervised Case Study in the PHME 2026 Data Challenge

open access: yes
Developing an effective prognostics and health management (PHM) prediction pipeline requires iterative decisions on data structure, degradation behavior, feature representation, evaluation metrics, and failure cases. This paper reports a human-supervised
Jay Lee, Takanobu Minami
core   +1 more source

From Machine Health to Elderly Health: A Sustainability-oriented Elderly-centric Social Robot System enabled by PHM

open access: yes
The purpose of designing machines is to serve humans and assist them in completing their work on time. A machine, such as a social robot, can be particularly supportive for older individuals who may have reduced strength and be more susceptible to ...
Deepti Mishra, Akshara Pande
core   +1 more source

Robust Anomaly Detection Under Contaminated Data: A Comprehensive Evaluation Across PHM Contexts

open access: yes
Robust anomaly detection under contaminated training data is an important challenge in Prognostics and Health Management (PHM). In semi-supervised anomaly detection, models are typically trained on data assumed to represent normal behavior.
Stefano Donné   +3 more
core   +1 more source

People’s Health Movement: A Call to Action on Nutrition, Food Security and Food Sovereignty.

open access: yesWorld Nutrition, 2018
David Sanders   +2 more
doaj   +1 more source

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