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Attention Recurrent Neural Network-Based Severity Estimation Method for Early-Stage Fault Diagnosis in Robot Harness Cable.

• Authors : Kim, Heonkook¹ (AUTHOR) ; Lee, Hojin¹ (AUTHOR); Kim, Seongyun¹ (AUTHOR)

• Source: Sensors (14248220). Jun2023, Vol. 23 Issue 11, p5299. 16p.

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Edge-to-Cloud IIoT for Condition Monitoring in Manufacturing Systems with Ubiquitous Smart Sensors.

• Authors : Li, Zhi¹ (AUTHOR); Fei, Fei² (AUTHOR); Zhang, Guanglie³ (AUTHOR)

• Source: Sensors (14248220). Aug2022, Vol. 22 Issue 15, p5901-N.PAG. 15p.

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Early life failure modes and downtime analysis of onshore type-III wind turbines in Turkey

• Authors : Sarma, Nur; Tuohy, Paul; Özgönenel, Okan

Subjects: Condition monitoring; Downtime; Failures

• Source: Sarma , N , Tuohy , P , Özgönenel , O & Durovic , S 2023 , ' Early life failure modes and downtime analysis of onshore type-III wind turbines in Turkey ' , Electric

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Investigation of Various Wind Turbine Drivetrain Condition Monitoring Techniques (Presentation)

• Authors : Sheng, Shuangwen

• Source: Conference: Presented at the 2011 Wind Turbine Reliability Workshop, 2-3 August 2011, Albuquerque, New Mexico; Other Information: NREL (National Renewable Energy Laboratory)

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Prediction of wind turbine generator bearing failure through analysis of high-frequency vibration data and the application of support vector machine algorithms

• Authors : Alan Turnbull; James Carroll; Sofia Koukoura

Subjects: vibrations; remaining life assessment; power generation faults

• Source: The Journal of Engineering (2019)

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Vibration based condition monitoring of rotating part using spectrum analysis: A case study on milling machine

• Authors : N. Keerthi Kumar; Yadavalli Basavaraj; B. K. Pavan Kumar

Subjects: Vibration; Downtime; Signal processing

• Source: Materials Today: Proceedings. 49:744-747

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A hybrid LSTM-KLD approach to condition monitoring of operational wind turbines

• Authors : Yueqi Wu; Xiandong Ma

Subjects: Downtime; Wind power; Bearing (mechanical)

• Source: Renewable Energy. 181:554-566

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Fault Diagnosis of Ball Screw in Industrial Robots Using Non-Stationary Motor Current Signals

• Authors : Jay Lee; Qibo Yang; Xiang Li

Subjects: Production line; 0209 industrial biotechnology; Downtime

• Source: Procedia manufacturing. 48

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Broken rotor bars fault detection in induction motors based on current envelope and neural network

• Authors : Mohammed Obaid Mustafa

Subjects: обвідна струму статора; neural network; Stator

• Source: Eastern-European Journal of Enterprise Technologies, Vol 3, Iss 2 (111), Pp 88-95 (2021)Eastern-European Journal of Enterprise Technologies; Vol. 3 No. 2 (111) (2021): Information technology.

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Fault size diagnosis of rolling element bearing using artificial neural network and dimension theory

• Authors : Nagaraj V. Dharwadkar; Surajkumar G. Kumbhar; R. G. Desavale

Subjects: 0209 industrial biotechnology; Downtime; Bearing (mechanical)

• Source: Neural Computing and Applications. 33:16079-16093

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