Results 31 to 40 of about 1,549 (171)

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

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

A dataset for fault detection and diagnosis of an air handling unit from a real industrial facility

Data in Brief, 2023
This dataset was collected for the purpose of applying fault detection and diagnosis (FDD) techniques to real data from an industrial facility. The data for an air handling unit (AHU) is extracted from a building management system (BMS) and aligned with ...
Michael Ahern, Dominic T.J. O'Sullivan, Ken Bruton   +2 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

Integrating Phylogenomics and Biogeography of Spectracanthicus (Siluriformes: Loricariidae) Reveals Complex Evolutionary History in a Brazilian Shield Endemic Genus

Zoologica Scripta, EarlyView.
ABSTRACT Loricariidae is the most diverse catfish family in the Neotropics. Within this group, the genus Spectracanthicus presents conflicting phylogenetic signals: morphological studies suggest monophyly, whereas previous molecular analyses often yield unresolved relationships and taxonomic uncertainty.
Felipe A. A. Araújo, Sibelle T. Vilaça, Claudio Oliveira, João Pedro Fontenelle, Viola Winkler, Alberto Akama, Wolmar B. Wosiacki   +6 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

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

Engineering 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, Arslan Aslam, Ansa Mubarak, Saba Waseem, Umair Shahzad   +4 more
wiley   +1 more source

Evaluating Fault Detection and Diagnostics Protocols Applied to Air-Cooled Vapor Compression Air-Conditioners [PDF]

, 2012
Fault detection and diagnostics (FDD) tools are being increasingly applied in air-conditioning systems. There are many different protocols used in these FDD tools, so an important question to ask is: how well do the protocols work?
Yuill, David P., Braun, James E.
core  

Recursive actuator fault detection and diagnosis for emergency landing of UASs [PDF]

, 2014
This paper presents a practical recursive fault detection and diagnosis (FDD) scheme for online identification of actuator faults for unmanned aerial systems (UASs) based on the unscented Kalman filtering (UKF) method.
Warren, Michael, Upcroft, Ben, Yang, Xilin, Mejias, Luis, Gonzalez, Felipe   +4 more
core   +1 more source

Fault Diagnosis, Behavioural Analysis and Parameter Importance for a Domestic Air Conditioning System Using Machine Learning

Artificial Intelligence for Engineering, Volume 2, Issue 3, Page 279-288, September 2026.
Fault detection models for domestic AC system, built by collecting raw data, systematically evaluating models and making parameter‐based inferences using statistical methods. ABSTRACT Fault detection and diagnosis in domestic air conditioning systems can greatly benefit from data‐driven approaches.
Chinmay Kane, Atharva Kaduskar
wiley   +1 more source