Results 71 to 80 of about 1,549 (171)
Fault detection and diagnosis, FDD via improved univariate statistical process control charts, USPC [PDF]
, 2004 A new approach for detecting and diagnosing fault via correlation technique is introduced in this study. The correlation coefficient is determined using multivariate analysis technique, Partial Correlation Analysis (PCorrA). Individual charting technique
Harun, Noorlisa, Ibrahim, Kamarul Asri
core
, 2020 This is the source code for the manuscript: Performance comparison of representative model-based fault reconstruction algorithms for aircraft sensor fault detection and diagnosis The file contains NDO, SMC, IOTSEKF and ATSEKF for aircraft sensor ...
Qizhi He (514182) +4 more
core +2 more sources
Proactive Fault Detection and Diagnosis Method for VAV Terminals in Air Conditioning System
Zhileng xuebao, 2019 A variable air volume（VAV）system exhibits the feature of limited sensors and similar characteristics of fault conditions. A traditional passive fault detection and diagnosis（FDD）method does not diagnose all faults in VAV systems due to limited ...
Li Peijie +4 more
doaj +2 more sources
Thermal Image Analysis for Fault Detection and Diagnosis of PV Systems
, 2020 This research presents thermal image analysis for Fault Detection and Diagnosis (FDD) of Photovoltaic (PV) Systems. The traditional manual approach of PV inspection is generally more time-consuming, more dangerous, and less accurate than the modern ...
Jeon, Hyewon
core +1 more source
Hybrid Approach for Detection and Diagnosis of Short-Circuit Faults in Power Transmission Lines
EnergiesIn this article, the main problem under investigation is the detection and diagnosis of short-circuit faults in power transmission lines. The proposed fault detection (FDD) approach is mainly based on principal component analysis (PCA).
Luís Brito Palma
doaj +1 more source
The importance of selecting the optimal number of principal components for fault detection using principal component analysis [PDF]
, 2012 Includes summary.Includes bibliographical references.Fault detection and isolation are the two fundamental building blocks of process monitoring. Accurate and efficient process monitoring increases plant availability and utilization.
Khwambala, Patricia Helen
core +1 more source
Multi-Objective Optimized Machine Learning for Early Fault Detection in Water-Cooled Chillers
Journal of Engineering and Sustainable DevelopmentIn large office buildings and commercial complexes, HVAC systems account for nearly two-thirds of total electricity consumption. However, early fault detection and diagnosis (FDD) in water-cooled chillers remains challenging because faults usually ...
Nguyen Duc Thanh, Dinh Anh Tuan Tran
doaj +1 more source
Case Studies in Thermal EngineeringThis study proposes an Artificial Intelligence (AI)-based Fault Detection and Diagnosis (FDD) system for chiller fault diagnostics, utilizing a One-Dimensional Convolutional Neural Network (1D-CNN) combined with Transfer Learning to enhance ...
Yen-Tang Chen +4 more
doaj +1 more source
IEEE AccessFault detection and diagnosis (FDD) in power transformers is essential for maintaining reliability and safety in modern power systems. Recent trends in transformer fault diagnosis include the use of advanced monitoring systems and data analysis ...
Lebo Dina Mashifane +2 more
doaj +1 more source
Improving the Navigability of a Hexapod Robot Using a Fault-Tolerant Adaptive Gait
International Journal of Advanced Robotic Systems, 2012 This paper encompasses a study on the development of a walking gait for fault tolerant locomotion in unstructured environments. The fault tolerant gait for adaptive locomotion fulfills stability conditions in opposition to a fault (locked joints or ...
Umar Asif
doaj +1 more source