Results 21 to 30 of about 383 (144)

A Multi-Source Data-Driven Fault Detection and Diagnosis Method for Pumps

Energies
Fault detection and diagnosis (FDD) in pumps is crucial for building energy management by detecting the abnormal operation status, increasing the service life of equipment, and enhancing the energy performance of buildings. Most FDD methods predominantly
Jiefan Gu, Hongming Li, Chunlin Gong, Hengsheng Jia, Wei Luo, Peng Xu, Linxue Li, Kan Chen, Leqi Zhu, Renrong Ding   +9 more
doaj   +1 more source

Smart fault detection and diagnosis system for collaborative robots using deep learning techniques [PDF]

EPJ Web of Conferences
Fault Detection and Diagnosis (FDD) is crucial for ensuring safe, reliable, and energy-efficient operation of collaborative robots, especially with the growth of Industry 4.0.
Banu A. Nazreen, Ej Ibine, R Harish, Vardhan S Harsha   +3 more
doaj   +1 more source

Data-Driven Machine Learning for Fault Detection and Diagnosis in Nuclear Power Plants: A Review

Frontiers in Energy Research, 2021
Data-driven machine learning (DDML) methods for the fault diagnosis and detection (FDD) in the nuclear power plant (NPP) are of emerging interest in the recent years.
Guang Hu, Taotao Zhou, Qianfeng Liu
doaj   +1 more source

BEARING-FDD: An early detection and diagnosis tool for bearing faults in rotating machinery

Software Impacts
Spanish National Plan Research, Development, and Innovation under project EDNA [PID2021-124383OB-I00]; European Union; University of Oviedo; University of Cranfield; Severo Ochoa program [PA-22-BP21-120]
Luis Magadán, Cristobal Ruiz-Carcel, Juan C. Granda, Francisco J. Suárez, A. Menéndez-González, Andrew Starr 0001   +5 more
openaire   +3 more sources

Simultaneous State and Parameter Estimation Based Actuator Fault Detection and Diagnosis for an Unmanned Helicopter

International Journal of Applied Mathematics and Computer Science, 2015
Simultaneous state and parameter estimation based actuator fault detection and diagnosis (FDD) for single-rotor unmanned helicopters (UHs) is investigated in this paper. A literature review of actuator FDD for UHs is given firstly.
Wu Chong, Qi Juntong, Song Dalei, Qi Xin, Han Jianda   +4 more
doaj   +1 more source

Generative Oversampling Method for Imbalanced Data on Bearing Fault Detection and Diagnosis

Applied Sciences, 2019
In this study, we developed a novel data-driven fault detection and diagnosis (FDD) method for bearing faults in induction motors where the fault condition data are imbalanced.
Sungho Suh, Haebom Lee, Jun Jo, Paul Lukowicz, Yong Oh Lee   +4 more
doaj   +1 more source

Improved fault detection and diagnosis using graph auto encoder and attention-based graph convolution networks

Digital Chemical Engineering
A powerful fault detection and diagnosis (FDD) system plays a pivotal role in achieving operational excellence by maximizing system performance, optimizing maintenance strategies, and ensuring the longevity and resilience of process plants.
Parth Brahmbhatt, Rahul Patel, Abhilasha Maheshwari, Ravindra D. Gudi   +3 more
doaj   +1 more source

Methods for 3D evaluation and quantification of gingival recessions and gingival margin changes: Advancements from conventional techniques

Periodontology 2000, EarlyView.
Abstract In an era of increasing life expectancy and growing patient demands towards lifelong natural tooth retention, accurate assessment of gingival recessions is crucial for diagnosing periodontal diseases, planning preventive or restorative interventions, and evaluating their outcomes.
Nikolaos Gkantidis, Konstantinos Dritsas, Mohammed Ghamri, Demetrios Halazonetis, Anton Sculean   +4 more
wiley   +1 more source

Faults in Modular Multilevel Cascade Converters–Part II: Fault Tolerance, Fault Detection and Diagnosis, and System Reconfiguration

IEEE Open Journal of the Industrial Electronics Society, 2022
Modular multilevel cascade converters (MMCCs) are considered a promising power electronics topology in industry. Their scalability allows to reach (ultra/very) high voltage levels with low harmonic content and high efficiency and makes MMCCs an ideal ...
Felix Rojas, Cristobal Jerez, Christoph M. Hackl, Oliver Kalmbach, Javier Pereda, Jonathan Lillo   +5 more
doaj   +1 more source

Technical Debt Management in Continuous Software Engineering: State of the Art and Research Agenda

Journal of Software: Evolution and Process, Volume 38, Issue 8, August 2026.
ABSTRACT Software companies have streamlined their engineering processes, and continuous development has been key to achieving flexible, market‐driven software solutions. Continuous software engineering (CSE) emerged as an approach to iteratively develop and maintain software, integrating business strategy, development, and operations aligned with ...
Lucas Carvalho, João P. Biazotto, Daniel Feitosa, Rick Kazman, Elisa Y. Nakagawa   +4 more
wiley   +1 more source