Results 41 to 50 of about 3,016 (158)

Derived Power Streams for Fault Detection and Condition-Based Maintenance

IEEE Access
Nonintrusive electrical monitoring enables fault detection and diagnostics for power systems from an aggregate monitoring point. Faulty electromechanical equipment often produces unrecognizable electrical signatures that confound data-driven techniques ...
Aaron W. Langham, Thomas C. Krause, Steven B. Leeb   +2 more
doaj   +1 more source

Advanced Data Augmentation Techniques for Enhanced Fault Diagnosis in Industrial Centrifugal Pumps

Journal of Sensor and Actuator Networks
This study presents an advanced data augmentation framework to enhance fault diagnostics in industrial centrifugal pumps using vibration data. The proposed framework addresses the challenge of insufficient defect data in industrial settings by ...
Dong-Yun Kim, Akeem Bayo Kareem, Daryl Domingo, Baek-Cheon Shin, Jang-Wook Hur   +4 more
doaj   +1 more source

Inertial measuring units for future-generation aerospace products: fault-tolerance

Вестник Самарского университета: Аэрокосмическая техника, технологии и машиностроение, 2018
A Strapdown Inertial Measurement Unit (SIMU) with structural redundancy intended for improving fault-tolerance and accuracy of inertial navigation systems for space applications is considered.
L. V. Vodicheva, L. N. Bel'skiy, Yu. V. Parysheva, A. A. Lystsov   +3 more
doaj   +1 more source

Review of Fault Detection Approaches for Large-Scale Lithium-Ion Battery Systems: A Spatio-Temporal Perspective

Batteries
Battery fault detection is crucial for maintaining the safety and reliability of large-scale lithium-ion battery systems, especially in demanding applications like electric vehicles and energy storage power stations.
Qingbin Wang, Hangang Yan, Yun Yang, Xianzhong Zhao, Hui Huang, Zudi Huang, Zhuoqi Zhu, Shi Liu, Bin Yi, Gancai Huang, Jianfeng Yang   +10 more
doaj   +1 more source

Labelled dataset for Ultra-Low Temperature Freezer to aid dynamic modelling & fault detection and diagnostics. [PDF]

Sci Data, 2023
Huang T, Nøstvik S, Bacher P, Jensen JK, Markussen WB, Møller JK.   +5 more
europepmc   +1 more source

Bridging Data and Diagnostics: A Systematic Review and Case Study on Integrating Trend Monitoring and Change Point Detection for Wind Turbines

Energies
Wind turbines face significant operational challenges due to their complex electromechanical systems, exposure to harsh environmental conditions, and high maintenance costs.
Abu Al Hassan, Phong Ba Dao
doaj   +1 more source

Fault Diagnostics for Turbo-Shaft Engine Sensors Based on a Simplified On-Board Model

Sensors, 2012
Combining a simplified on-board turbo-shaft model with sensor fault diagnostic logic, a model-based sensor fault diagnosis method is proposed. The existing fault diagnosis method for turbo-shaft engine key sensors is mainly based on a double redundancies
Yaodong Xing, Jinquan Huang, Feng Lu
doaj   +1 more source

Repeatability assessment of FBG-based strain measurements for bearing fault diagnostics

JPhys Photonics
Rolling element bearings are essential to rotating machinery, yet failures remain a leading cause of downtime and maintenance. Traditional electromechanical sensor-based methods for rotating machinery and bearing diagnostics often suffer from signal ...
Sidney Goossens, Panagiotis Mantas, Damilare Samuel Ojo, Octavian Axinte, Alexandre Mauricio, Konstantinos Gryllias, Francis Berghmans   +6 more
doaj   +1 more source

A Novel Fault Diagnosis Method of High-Speed Train Based on Few-Shot Learning

Entropy
Ensuring the safe and stable operation of high-speed trains necessitates real-time monitoring and diagnostics of their suspension systems. While machine learning technology is widely employed for industrial equipment fault diagnosis, its effective ...
Yunpu Wu, Jianhua Chen, Xia Lei, Weidong Jin   +3 more
doaj   +1 more source

Decoding pixels: A modular software prototype for cognitive image-based diagnostics of PV plants

EPJ Photovoltaics
Although aerial infrared (aIRT) imagery-based solutions for diagnostics of PV plants demonstrate impressive time-efficiency and spatial resolution, they also suffer from considerable drawbacks: limited automation (hence, expert dependence) and ...
Tsanakas John Ioannis A., Marechal Philippe   +1 more
doaj   +1 more source