Results 41 to 50 of about 297,161 (352)
Welcome message from the Editor-in-Chief [PDF]
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 2014 -
Lei Shu
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A methodology for distributed fault diagnosis
Journal of Physics: Conference Series, 2017 In this paper, a methodology for distributed fault diagnosis is proposed. The algorithm places the sensors in a system in such a manner that the partition of a system into various subsystems becomes easier facilitating the implementation of a distributed fault diagnosis system.
Gupta, Vikas +2 more
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Fault diagnosis and sustainable control of wind turbines: Robust data-driven and model-based strategies [PDF]
, 2018 Fault Diagnosis and Sustainable Control of Wind Turbines: Robust Data-Driven and Model-Based Strategies discusses the development of reliable and robust fault diagnosis and fault-tolerant (‘sustainable’) control schemes by means of data-driven and model ...
FARSONI, Saverio, SIMANI, Silvio
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A Survey on Energy Harvesting and Integrated Data Sharing in Wireless Body Area Networks
International Journal of Distributed Sensor Networks, 2015 Wireless body area networks (WBANs) are important branches of wireless sensor networks (WSNs). They promise unobtrusive ambulatory health monitoring for real-time updates of patients' medical records that have aroused extensive attention in various ...
Xiaoling Xu +4 more
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IEEE Access, 2019 Conventional order tracking, which relies on a reference signal, is a common tool for rotary machinery fault diagnosis under speed fluctuation working conditions. However, it is inconvenient to install a speed sensor under certain circumstances.
Lu Wang, Jiawei Xiang
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Robust Fault Diagnosis by Optimal Input Design for Self-sensing Systems
, 2017 This paper presents a methodology for model based robust fault diagnosis and a methodology for input design to obtain optimal diagnosis of faults. The proposed algorithm is suitable for real time implementation. Issues of robustness are addressed for the
Khalate, Amol +2 more
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Multiple-fault detection methodology based on vibration and current analysis applied to bearings in induction motors and gearboxes on the kinematic chain [PDF]
, 2016 © 2016 Juan Jose Saucedo-Dorantes et al. Gearboxes and induction motors are important components in industrial applications and their monitoring condition is critical in the industrial sector so as to reduce costs and maintenance downtimes.
Delgado Prieto, Miquel +4 more
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Sensors, 2022 Accurate and fast rolling bearing fault diagnosis is required for the normal operation of rotating machinery and equipment. Although deep learning methods have achieved excellent results for rolling bearing fault diagnosis, the performance of most ...
Ruixin Zhang, Yu Gu
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Domain Adaptive Transfer Learning for Fault Diagnosis
, 2019 Thanks to digitization of industrial assets in fleets, the ambitious goal of transferring fault diagnosis models fromone machine to the other has raised great interest. Solving these domain adaptive transfer learning tasks has the potential to save large
Fink, Olga, Michau, Gabriel, Wang, Qin
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Internet of Things for Disaster Management: State-of-the-Art and Prospects
IEEE Access, 2017 Disastrous events are cordially involved with the momentum of nature. As such mishaps have been showing off own mastery, situations have gone beyond the control of human resistive mechanisms far ago.
Partha Pratim Ray +2 more
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