Results 241 to 250 of about 36,327 (304)

Detecting faulty lithium-ion cells in large-scale parallel battery packs using current distributions. [PDF]

Commun Eng
Lambert P, Drummond R, Ross JP, Tredenick EC, Howey DA, Duncan SR.   +5 more
europepmc   +1 more source

Ball bearing fault detection using an acoustic based machine learning approach. [PDF]

Sci Rep
Chandrakala CB, Karumanchi SS, Raghudathesh GP, Madhwesh N.   +3 more
europepmc   +1 more source

Fault Diagnosis of Rotating Machinery Using Supervised Machine Learning Algorithms with Integrated Data-Driven and Physics-Informed Feature Sets. [PDF]

Sensors (Basel)
Ignjatovska AA, Petreski Z, Gavriloski V, Shishkovski D, Domazetovska Markovska S, Anachkova M, Pecioski D.   +6 more
europepmc   +1 more source

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A comprehensive review: Fault detection, diagnostics, prognostics, and fault modeling in HVAC systems

International Journal of Refrigeration, 2022
Vijay Singh, Jyotirmay Mathur, Aviruch Bhatia   +2 more
openaire   +3 more sources

Building sensor fault detection and diagnostic system

Proceedings of the 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, 2021
In this paper, we developed a Building Sensor Fault Detection and Diagnostics System. It consists of a smartphone application integrated with airflow and temperature sensors, to enable Facilities' crews to collect flow, supply, and zone temperatures from each zone with a simple walk-through.
Devanshu Kumar, Xianzhong Ding, Wan Du, Alberto Cerpa   +3 more
openaire   +1 more source

Dashboard: Nonintrusive Electromechanical Fault Detection and Diagnostics

2019 IEEE AUTOTESTCON, 2019
Modern power monitoring systems record vast amounts of equipment operational data. For these systems to improve efficiency and performance, the data must be presented as an intuitive decision aid for watchstanders. The Nonintrusive Load Monitor (NILM) dashboard provides actionable information for energy scorekeeping, activity tracking, and equipment ...
Daisy Green, Peter Lindahl, Steven Leeb, Thomas Kane, Stephen Kidwell, John Donnal   +5 more
openaire   +1 more source

Automated Fault Detection and Diagnostics in HVAC Systems

2023
In this comprehensive research paper, we delve into the transformative realm of Automated Fault Detection and Diagnostics (AFDD) within Heating, Ventilation, and Air Conditioning (HVAC) systems. As the intricacies of HVAC systems continue to evolve, AFDD emerges as a pivotal and proactive solution for the identification and diagnosis of faults, thereby
Sharma, Vibhu, Mistry, Vrushank
openaire   +1 more source

Fault Detection, Diagnostics, and Prognostics: Software Agent Solutions

IEEE Transactions on Vehicular Technology, 2007
Fault diagnosis and prognosis are important tools for the reliability, availability, and survivability of navy all-electric ships (AES). Extending the fault detection and diagnosis into predictive maintenance increases the value of this technology. The traditional diagnosis can be viewed as a single diagnostic agent having a model of the component or ...
Li Liu, Kevin P. Logan, David A. Cartes, Sanjeev K. Srivastava   +3 more
openaire   +1 more source

ON-LINE FAULT-DETECTION AND DIAGNOSTICS ON PAPER MACHINES

IFAC Proceedings Volumes, 1991
Abstract We outline the needs for diagnostics in the paper industry and describe the state of the art. We have developed two next-generation diagnostic systems: WEDGE for the diagnostics of temporal variations, and FLEXPRO for spatial (cross-direction) variations.
H. Paulapuro, R. Ritala
openaire   +1 more source