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Subject : monitoring of machinery

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Academic Journal

A NARX Model-Based Condition Monitoring Method for Rotor Systems.

Authors : Gao, Yi¹ (AUTHOR) ; Yu, Changshuai¹ (AUTHOR) ; Zhu, Yun-Peng² (AUTHOR)

Source: Sensors (14248220). Aug2023, Vol. 23 Issue 15, p6878. 13p.

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Academic Journal

Enhanced feature extraction for machinery condition monitoring using recurrence plot and quantification measure.

Authors : Zhou, Kai¹ (AUTHOR)

Source: International Journal of Advanced Manufacturing Technology. Dec2022, Vol. 123 Issue 9/10, p3421-3436. 16p. 2 Diagrams, 15 Graphs.

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Academic Journal

IDENTIFICATION AND EVALUATION OF THE CHARACTERISTICS OF A SELECTED COMMERCIAL MEMS BASED VIBRATION SENSOR FOR THE MACHINE CONDITION MONITORING.

Authors : AUGUSTYN, Damian¹ ; FIDALI, Marek¹

Source: Diagnostyka. 2023, Vol. 24 Issue 4, p1-8. 8p.

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Academic Journal

Condition Monitoring and Fault Diagnosis of a Marine Diesel Engine with Machine Learning Techniques.

Authors : Kocak, Gazi¹ ; Gokcek, Veysel¹; Genc, Yakup²

Source: Scientific Journal of Maritime Research. 2023, Vol. 37 Issue 1, p32-46. 15p.

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Academic Journal

Condition monitoring and life prediction of the turning tool based on extreme learning machine and transfer learning.

Authors : Gao, Zhan¹ (AUTHOR) ; Hu, Qiguo¹ (AUTHOR) ; Xu, Xiangyang¹ (AUTHOR)

Source: Neural Computing & Applications. Mar2022, Vol. 34 Issue 5, p3399-3410. 12p.

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Academic Journal

On the use of jerk and snap in condition monitoring of machinery -- review and case studies.

Authors : Lahdelma, S.¹

Source: Insight: Non-Destructive Testing & Condition Monitoring. Aug2021, Vol. 63 Issue 8, p457-464. 8p.

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Academic Journal

A review on deep learning based condition monitoring and fault diagnosis of rotating machinery.

Authors : Gangsar, Purushottam¹ (AUTHOR) ; Bajpei, Aditya Raj¹ (AUTHOR); Porwal, Rajkumar¹ (AUTHOR)

Source: Noise & Vibration Worldwide. Dec2022, Vol. 53 Issue 11, p550-578. 29p.

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Academic Journal

Online Condition Monitoring of Rotating Machines by Self-Powered Piezoelectric Transducer from Real-Time Experimental Investigations.

Authors : Khazaee, Majid¹ (AUTHOR) ; Rosendahl, Lasse Aistrup¹ (AUTHOR); Rezania, Alireza¹ (AUTHOR)

Source: Sensors (14248220). May2022, Vol. 22 Issue 9, p3395-3395. 22p.

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Academic Journal

Property requirements of vibration measurements in wind turbine drivetrain bearing condition monitoring.

Authors : Strömbergsson, D.¹ ; Marklund, P.¹; Berglund, K.¹

Source: Insight: Non-Destructive Testing & Condition Monitoring. Nov2021, Vol. 63 Issue 11, p667-674. 8p.

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Academic Journal

A study of the condition monitoring of large mechanical equipment based on a health management theory for mechanical systems.

Authors : Gongtian Shen¹ ; Yuan Liu²

Source: Insight: Non-Destructive Testing & Condition Monitoring. Aug2019, Vol. 61 Issue 8, p448-457. 10p.

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فلترة النتائج

A NARX Model-Based Condition Monitoring Method for Rotor Systems.

Enhanced feature extraction for machinery condition monitoring using recurrence plot and quantification measure.

IDENTIFICATION AND EVALUATION OF THE CHARACTERISTICS OF A SELECTED COMMERCIAL MEMS BASED VIBRATION SENSOR FOR THE MACHINE CONDITION MONITORING.

Condition Monitoring and Fault Diagnosis of a Marine Diesel Engine with Machine Learning Techniques.

Condition monitoring and life prediction of the turning tool based on extreme learning machine and transfer learning.

On the use of jerk and snap in condition monitoring of machinery -- review and case studies.

A review on deep learning based condition monitoring and fault diagnosis of rotating machinery.

Online Condition Monitoring of Rotating Machines by Self-Powered Piezoelectric Transducer from Real-Time Experimental Investigations.

Property requirements of vibration measurements in wind turbine drivetrain bearing condition monitoring.

A study of the condition monitoring of large mechanical equipment based on a health management theory for mechanical systems.

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