Results 41 to 50 of about 2,912 (188)

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

Model Prediction-Based Approach to Fault Tolerant Control with Applications [PDF]

, 2013
— Fault-tolerant control (FTC) is an integral component in industrial processes as it enables the system to continue robust operation under some conditions.
Khalid, Dr. Haris M., Mahmoud, Professor Magdi S.   +1 more
core   +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

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

Development and application of sliding mode LPV fault reconstruction schemes for the ADDSAFE [PDF]

, 2014
Copyright © 2014 Elsevier. NOTICE: this is the author’s version of a work that was accepted for publication in Control Engineering Practice. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting,
Alwi, Halim, Edwards, Christopher
core   +1 more source

Real‐Time Data‐Driven Fault Diagnosis of Photovoltaic Arrays Using an Edge‐Server Machine‐Learning Framework

Energy Science &Engineering, EarlyView.
A real‐time, data‐driven framework detects and classifies photovoltaic array faults using edge sensing and server‐side machine learning. Ensemble tree models achieve near‐perfect accuracy with low latency, enabling practical, low‐cost deployment for reliable PV monitoring and intelligent maintenance.
Premkumar Manoharan, Sowmya Ravichandran, Deepak Kumar Sinha, Chandran Ramakrishnan, Omar Almomani   +4 more
wiley   +1 more source

Towards distributed diagnosis of the Tennessee Eastman process benchmark [PDF]

, 2002
A distributed hybrid strategy is outlined for the isolation of faults and disturbances in the Tennessee Eastman process, which would build on existing structures for distributed control systems, so should be easy to implement, be cheap and be widely ...
Basseville, Becraft, Chantler, Chen, Chow, Clarke, de Kleer, Dorf, Downs, Forbus, Gertler, Gertler, Harris, Himmelblau, Iri, Isermann, Isermann, Isermann, John Howell, Jun Chen, Kramer, Kramer, Kutsuwa, Leonhardt, Lunze, McAvoy, Mo, Shiozaki, Thornhill, Thornhill, Tsuge, Tsuge, Tyler, Vedam, Wang   +34 more
core   +1 more source

Patient Dose Optimisation of Abdominopelvic Protocols During X‐Ray Imaging

Journal of Medical Radiation Sciences, EarlyView.
This study evaluates organ doses in abdominopelvic radiography for both erect and supine positions, addressing dose optimisation concerns in Ghana. Using CalDose X and thermoluminescence dosimeters, organ doses and image quality were analysed, revealing significant dose reductions with optimised exposure parameters (70 kVp, 10 mAs, 110 cm FDD).
Emmanuel Ekem‐Ferguson, Shirazu Issahaku, Mark Pokoo‐Aikins, Mary Boadu   +3 more
wiley   +1 more source

The Pier Luigi Nervi's concrete structure of Palazzetto dello Sport: Modeling and dynamic characterization

Structural Concrete, EarlyView.
Abstract This paper presents a numerical and experimental study aimed at the modeling and dynamic characterization of the reinforced concrete structure of the Palazzetto dello Sport in Rome, designed and by Pier Luigi Nervi with Annibale Vitellozzi, and built by Nervi & Bartoli contractors in 1956‐57.
Jacopo Ciambella, Gianluca Ranzi, Francesco Romeo   +2 more
wiley   +1 more source

Hybrid Random Forest and Support Vector Machine Modeling for HVAC Fault Detection and Diagnosis

Sensors, 2021
The malfunctioning of the heating, ventilating, and air conditioning (HVAC) system is considered to be one of the main challenges in modern buildings. Due to the complexity of the building management system (BMS) with operational data input from a large ...
Wunna Tun, Johnny Kwok-Wai Wong, Sai-Ho Ling   +2 more
doaj   +1 more source