Results 61 to 70 of about 9,187,359 (195)

Research on Remaining Useful Life Prognostics Based on Fuzzy Evaluation-Gaussian Process Regression Method

open access: yesIEEE Access, 2020
To achieve efficient and accurate remaining life prediction and effectively express the uncertainty of prediction results, this paper proposes a remaining life prediction method based on fuzzy evaluation-Gaussian process regression (FE-GPR).
Weijie Kang   +5 more
doaj   +1 more source

LiBrain: LLM‐powered Li‐ion battery diagnostics with time‐series‐aware retrieval‐augmented framework for E‐bikes

open access: yesAI Magazine, Volume 47, Issue 3, Fall 2026.
Abstract The rapid proliferation of smart‐city ecosystems has significantly amplified the demand for Li‐ion batteries, which now serve as the primary energy source for sustainable transportation systems such as e‐bikes. Ensuring battery safety and optimal performance is crucial, yet challenging due to complex intrinsic dynamics and extrinsic operating ...
Zhao Li   +3 more
wiley   +1 more source

A Comprehensive Review of Artificial Intelligence-Based Algorithms for Predicting the Remaining Useful Life of Equipment

open access: yesSensors
In the contemporary big data era, data-driven prognostic and health management (PHM) methodologies have emerged as indispensable tools for ensuring the secure and reliable operation of complex equipment systems.
Weihao Li   +9 more
doaj   +1 more source

Remaining useful life prediction for ball bearings based on health indicators [PDF]

open access: yesMATEC Web of Conferences, 2019
Uncertainty in remaining useful life (RUL) prediction is nowadays a scientific problem that occupies industrials. Many prognostic models have been developed to respond to this issue from probabilistic to non-probabilistic approaches.
Al Masry Zeina   +3 more
doaj   +1 more source

Remaining Useful Life Estimation (RUL) For Critical Mechanical Components In Tractor

open access: yesInternational Journal For Multidisciplinary Research
The proposed framework utilizes an evolutionary mathematical approach to optimize data-related parameters for estimating the Remaining Useful Life (RUL) of critical mechanical components. By integrating advanced time window techniques and considering factors like downtime and failure occurrences, it offers a comprehensive solution for RUL prediction ...
SAHIL BHAGAT -   +2 more
openaire   +1 more source

Metal Battery Anode: Rich in Electrons, Rich in Problems: A Critical Review from Industrial Perspectives

open access: yesAdvanced Science, Volume 13, Issue 49, 3 September 2026.
Metal‐anode batteries using Li, Na, Mg, and Ca offer exceptionally high energy density, but dendrites, unstable interphases, cracking, and pore formation hinder durability and safety. This review shows how careful electrolyte and interphase design can stabilize these reactive metals.
Jian Pan   +3 more
wiley   +1 more source

Prognostic Approaches for Early Detection of Thermal Runaway in Lithium‐Ion Batteries

open access: yesBattery Energy, Volume 5, Issue 5, September 2026.
This article reviews methodologies for early detection of thermal runaway in lithium‐ion batteries, focusing on thermal, electrical, mechanical, and gas‐based precursors. It compares detection performance, reliability, lead time, and system‐level integration challenges to guide the development of practical, robust prognostic safety architectures.
Sahithi Maddipatla   +3 more
wiley   +1 more source

Fault Diagnosis and Prediction of Remaining Useful Life (RUL) of Rolling Element Bearing : A review state of art [PDF]

open access: yes
Fault diagnosis of rolling element bearings is a critical aspect of machine maintenance and reliability. Bearings are extensively used in various industrial applications, and their failure can lead to costly downtime and equipment damage.
R. V. Bhandare   +3 more
core   +1 more source

A Review of Fault‐Tolerant Control Applications in Process Equipment: Boilers, Heat Exchangers, Pumps, Turbines, and Engines for Greater Reliability

open access: yesEngineering Reports, Volume 8, Issue 9, September 2026.
The article explores ways such as ultrasonic guided wave testing, infrared thermography, acoustic emission, vibration analysis, and oil analysis to prevent faults from affecting the plant and help with fault isolation. It focuses on how FTC is combined with modern tools like Artificial Intelligence (AI), the Internet of Things (IoT), sliding mode ...
Arslan Ahmed Amin   +4 more
wiley   +1 more source

Erosion, Degradation, and Reliability of Next‐Generation Biomedical Internet of Medical Things Devices: Mechanisms, Monitoring, and Predictive Modeling

open access: yesEngineering Reports, Volume 8, Issue 9, September 2026.
This review presents a comprehensive framework for understanding degradation mechanisms, material selection, surface engineering, in situ monitoring, and AI‐enabled predictive modeling in biomedical IoMT devices. It highlights strategies to improve long‐term reliability, durability, and clinical safety of implantable, wearable, and hybrid healthcare ...
Ankur Kumar   +8 more
wiley   +1 more source

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