Results 81 to 90 of about 1,549 (171)

Efficiency-Centered Fault Diagnosis of In-Service Induction Motors for Digital Twin Applications: A Case Study on Broken Rotor Bars

Machines
The uninterrupted operation of induction motors is crucial for industries, ensuring reliability and continuous functionality. To achieve this, we propose an innovative approach that utilizes an efficiency model-based digital shadow system for in situ ...
Adamou Amadou Adamou, Chakib Alaoui
doaj   +1 more source

A novel fault detection and diagnosis approach for three-phase full-bridge inverter in permanent magnet synchronous motor based on optimal information gain threshold determination and supervised machine learning algorithms

Results in Engineering
The establishment of numerous Fault Detection and Diagnosis (FDD) methods, particularly for the Three-phase Full-bridge Inverter (TFI), aims to improve the reliability of Motor Drive Systems (MDS).
Ramzi El Idrissi, Abdelkabir Bacha, Fatima Lmai, Khalid Janati Idrissi, Amadou Sow Papa   +4 more
doaj   +1 more source

Literature Review for Sensor Impact Evaluation and Verification Use Cases - Building Controls and Fault Detection and Diagnosis (FDD) [PDF]

, 2020
Piljae Im, Yeonjin Bae, Borui Cui, Seungjae Lee, Saptarshi Bhattacharya, Veronica Adetola, Draguna Vrabie, Liang Zhang, Matt Leach   +8 more
openaire   +1 more source

Domain Generalized Open-Set Fault Detection and Diagnosis for Belt Conveyor Systems With Prototype Learning

IEEE Access
Belt conveyor systems are essential across various industries but are prone to faults due to their distinctive design and challenging operational environments. Various approaches have been explored for fault detection and diagnosis (FDD) in belt conveyor
Jinyou Kim, Ilkyu Yi, Young-Joo Suh
doaj   +1 more source

The Fault Detection and Diagnosis (FDD) for Deep Belief Network (DBN)-Based AHUs Using Data Feature Selection

Journal of Asian Urban Environment, 2021
Pei, Di, Meng, Hua, Ruan, Yingjun, Qian, Fanyue, Deng, Yongkang, Sun, Hao   +5 more
openaire   +1 more source

Integrating AI with State Estimation for Fault Detection in Dynamic Systems: Methods, Challenges, and Opportunities

Energies
State estimation is a fundamental component of model-based Fault Detection and Diagnosis (FDD) in dynamic systems, underpinning real-time monitoring, predictive maintenance, and safety-critical operations across industries such as aerospace, power ...
Sahar Gargouri, Majdi Mansouri, Ahmed Anis Kahloul, Marwen Kermani, Anis Sakly   +4 more
doaj   +1 more source

High Resolution Model-based HVAC Fault Detection and Diagnosis (FDD) Considering Building Operation Uncertainty

Building Simulation Conference proceedings, 2020
Yifu Shi, Godfried Augenbroe
openaire   +1 more source

Research on Fault Diagnosis of Chillers Based on Improved BP Network

Zhileng xuebao, 2015
The overall detection rate using conventional neural networks to detect and diagnose the chillers’ fault is low, even this method can’t detect the fault completely.
Shi Shubiao, Chen Huanxin, Li Guannan, Hu Yunpeng, Li Haorong, Hu Wenju, Li Jiong   +6 more
doaj  

Fault detection and diagnosis using correlation coefficients [PDF]

, 2005
Accurate process fault detection and diagnosis (FDD) at an early stage of a chemical process is very important to modern chemical plant in overcoming challenges such as strict requirements on product quality, low consumption of utility, environmentally ...
Mak, Weng Yee
core  

Fault Detection and Diagnosis of Power Systems using Artificial Neural Networks

, 1991
Real time fault detection and diagnosis (FDD) is an important area of research interest in knowledge based expert systems. Neurocomputing is one of fastest growing areas of research in the fields of artificial intelligence and pattern recognition.
Swarup, KS, Chandrasekharaiah, HS
core