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Publication : sensors (14248220)

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Academic Journal

A Review of Digital Twinning for Rotating Machinery.

Authors : Inturi, Vamsi^1,2 (AUTHOR) ; Ghosh, Bidisha² (AUTHOR); Rajasekharan, Sabareesh Geetha³ (AUTHOR)

Source: Sensors (14248220). Aug2024, Vol. 24 Issue 15, p5002. 33p.

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Academic Journal

Diagnosis of Rotor Component Shedding in Rotating Machinery: A Data-Driven Approach.

Authors : Zhang, Sikai¹ (AUTHOR) ; Lin, Qizhe² (AUTHOR) ; Lin, Jiayao¹ (AUTHOR)

Source: Sensors (14248220). Jul2024, Vol. 24 Issue 13, p4123. 19p.

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Academic Journal

The Prediction of the Remaining Useful Life of Rotating Machinery Based on an Adaptive Maximum Second-Order Cyclostationarity Blind Deconvolution and a Convolutional LSTM Autoencoder.

Authors : Gao, Yangde¹ (AUTHOR) ; Ahmad, Zahoor¹ (AUTHOR); Kim, Jong-Myon¹ (AUTHOR)

Source: Sensors (14248220). Apr2024, Vol. 24 Issue 8, p2382. 13p.

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Academic Journal

Smart Sensor-Based Monitoring Technology for Machinery Fault Detection.

Authors : Zhang, Ming¹ (AUTHOR) ; Xing, Xing² (AUTHOR) ; Wang, Wilson² (AUTHOR)

Source: Sensors (14248220). Apr2024, Vol. 24 Issue 8, p2470. 16p.

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Academic Journal

A Pure Electric Driverless Crawler Construction Machinery Walking Method Based on the Fusion SLAM and Improved Pure Pursuit Algorithms.

Authors : Wu, Jiangdong^1,2 (AUTHOR) ; Ren, Haoling^1,2 (AUTHOR) ; Lin, Tianliang^1,2 (AUTHOR)

Source: Sensors (14248220). Sep2023, Vol. 23 Issue 18, p7784. 24p.

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Academic Journal

Research on Rotating Machinery Fault Diagnosis Based on an Improved Eulerian Video Motion Magnification.

Authors : Zhao, Haifeng¹ (AUTHOR) ; Zhang, Xiaorui¹ (AUTHOR); Jiang, Dengpan¹ (AUTHOR)

Source: Sensors (14248220). Dec2023, Vol. 23 Issue 23, p9582. 20p.

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Academic Journal

Cross-Component Transferable Transformer Pipeline Obeying Dynamic Seesaw for Rotating Machinery with Imbalanced Data.

Authors : Xu, Binbin¹ (AUTHOR) ; Ma, Boquan¹ (AUTHOR) ; Yang, Zheng² (AUTHOR)

Source: Sensors (14248220). Sep2023, Vol. 23 Issue 17, p7431. 27p.

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Academic Journal

A Deep-Learning Method for Remaining Useful Life Prediction of Power Machinery via Dual-Attention Mechanism.

Authors : Wang, Fan¹ (AUTHOR) ; Liu, Aihua^1,2 (AUTHOR) ; Qu, Chunyang¹ (AUTHOR)

Source: Sensors (14248220). Jan2025, Vol. 25 Issue 2, p497. 19p.

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Academic Journal

Unsupervised Learning for Machinery Adaptive Fault Detection Using Wide-Deep Convolutional Autoencoder with Kernelized Attention Mechanism.

Authors : Yan, Hao^1,2 (AUTHOR); Si, Xiangfeng^1,2 (AUTHOR); Liang, Jianqiang^1,2 (AUTHOR)

Source: Sensors (14248220). Dec2024, Vol. 24 Issue 24, p8053. 19p.

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Academic Journal

Geostress-Adaptive Charge Structure Design and Field Validation for Machinery Room Excavation.

Authors : Chen, Xiaocui¹ (AUTHOR) ; Mi, Yuan¹ (AUTHOR) ; Shuai, Xinru¹ (AUTHOR)

Source: Sensors (14248220). Dec2024, Vol. 24 Issue 23, p7738. 20p.

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نتائج البحث

فلترة النتائج

A Review of Digital Twinning for Rotating Machinery.

Diagnosis of Rotor Component Shedding in Rotating Machinery: A Data-Driven Approach.

The Prediction of the Remaining Useful Life of Rotating Machinery Based on an Adaptive Maximum Second-Order Cyclostationarity Blind Deconvolution and a Convolutional LSTM Autoencoder.

Smart Sensor-Based Monitoring Technology for Machinery Fault Detection.

A Pure Electric Driverless Crawler Construction Machinery Walking Method Based on the Fusion SLAM and Improved Pure Pursuit Algorithms.

Research on Rotating Machinery Fault Diagnosis Based on an Improved Eulerian Video Motion Magnification.

Cross-Component Transferable Transformer Pipeline Obeying Dynamic Seesaw for Rotating Machinery with Imbalanced Data.

A Deep-Learning Method for Remaining Useful Life Prediction of Power Machinery via Dual-Attention Mechanism.

Unsupervised Learning for Machinery Adaptive Fault Detection Using Wide-Deep Convolutional Autoencoder with Kernelized Attention Mechanism.

Geostress-Adaptive Charge Structure Design and Field Validation for Machinery Room Excavation.

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