Soft Sensor Method Based on Deep Belief Network for Rotor Thermal Deformation of Rotary Air Preheater

2019 Chinese Automation Congress (CAC) ◽

10.1109/cac48633.2019.8996298 ◽

2019 ◽

Author(s):

Penglong Lian ◽

Han Liu ◽

Xiao Wang ◽

Runyuan Guo

Keyword(s):

Thermal Deformation ◽

Soft Sensor ◽

Deep Belief Network ◽

Air Preheater ◽

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Soft sensor modeling of mill level based on Deep Belief Network

The 26th Chinese Control and Decision Conference (2014 CCDC) ◽

10.1109/ccdc.2014.6852142 ◽

2014 ◽

Author(s):

Muchao Lu ◽

Yan Kang ◽

Xiaoming Han ◽

Gaowei Yan

Keyword(s):

Soft Sensor ◽

Deep Belief Network ◽

Belief Network ◽

Sensor Modeling

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A novel soft sensor model for ball mill fill level using deep belief network and support vector machine

International Journal of Engineering Systems Modelling and Simulation ◽

10.1504/ijesms.2016.079427 ◽

2016 ◽

Vol 8 (4) ◽

pp. 295 ◽

Author(s):

Gaowei Yan ◽

Yan Kang ◽

Mifeng Ren

Keyword(s):

Support Vector Machine ◽

Ball Mill ◽

Soft Sensor ◽

Deep Belief Network ◽

Support Vector ◽

Belief Network ◽

Sensor Model ◽

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Soft sensor based on DBN-IPSO-SVR approach for rotor thermal deformation prediction of rotary air-preheater

Measurement ◽

10.1016/j.measurement.2020.108109 ◽

2020 ◽

Vol 165 ◽

pp. 108109

Author(s):

Penglong Lian ◽

Han Liu ◽

Xiao Wang ◽

Runyuan Guo

Keyword(s):

Thermal Deformation ◽

Soft Sensor ◽

Deformation Prediction ◽

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A Novel Methodology for Process Monitoring by Using Deep Belief Network

SSRN Electronic Journal ◽

10.2139/ssrn.3604720 ◽

2020 ◽

Author(s):

Jonathan Antoine ◽

John Lundberg

Keyword(s):

Process Monitoring ◽

Deep Belief Network ◽

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Software Defect Prediction via Deep Belief Network

Chinese Journal of Electronics ◽

10.1049/cje.2019.06.012 ◽

2019 ◽

Vol 28 (5) ◽

pp. 925-932

Author(s):

Hua WEI ◽

Chun SHAN ◽

Changzhen HU ◽

Yu ZHANG ◽

Xiao YU

Keyword(s):

Deep Belief Network ◽

Defect Prediction ◽

Software Defect Prediction ◽

Belief Network ◽

Software Defect

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Autonomic Workload Performance Modeling for Large-Scale Databases and Data Warehouses through Deep Belief Network with Data Augmentation using Conditional Generative Adversarial Networks

IEEE Access ◽

10.1109/access.2021.3096039 ◽

2021 ◽

pp. 1-1

Author(s):

Nusrat Shaheen ◽

Basit Raza ◽

Ahmad Raza Shahid ◽

Ahmad Kamran Malik

Keyword(s):

Large Scale ◽

Performance Modeling ◽

Data Augmentation ◽

Deep Belief Network ◽

Generative Adversarial Networks ◽

Data Warehouses ◽

Belief Network ◽

Adversarial Networks

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Pose accuracy compensation of mobile industry robot with binocular vision measurement and deep belief network

Optik ◽

10.1016/j.ijleo.2021.166716 ◽

2021 ◽

Vol 238 ◽

pp. 166716

Author(s):

Wei Wang ◽

Wei Tian ◽

Wenhe Liao ◽

Bo Li

Keyword(s):

Binocular Vision ◽

Deep Belief Network ◽

Belief Network ◽

Vision Measurement ◽

Mobile Industry

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Supervised Deep Belief Network for Quality Prediction in Industrial Processes

IEEE Transactions on Instrumentation and Measurement ◽

10.1109/tim.2020.3035464 ◽

2021 ◽

Vol 70 ◽

pp. 1-11

Author(s):

Xiaofeng Yuan ◽

Yongjie Gu ◽

Yalin Wang

Keyword(s):

Deep Belief Network ◽

Industrial Processes ◽

Quality Prediction ◽

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Inverse filtering method of bare thermocouple for transient high-temperature test with improved deep belief network

IEEE Access ◽

10.1109/access.2020.3048996 ◽

2021 ◽

pp. 1-1

Author(s):

Chenyang Zhao ◽

Zhijie Zhang

Keyword(s):

High Temperature ◽

Deep Belief Network ◽

Inverse Filtering ◽

Belief Network ◽

Filtering Method ◽

Temperature Test

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Deep belief network-based probabilistic generative model for detection of robotic manipulator failure execution

Soft Computing ◽

10.1007/s00500-021-05572-0 ◽

2021 ◽

Author(s):

Pandit Byomakesha Dash ◽

Bighnaraj Naik ◽

Janmenjoy Nayak ◽

S. Vimal

Keyword(s):

Robotic Manipulator ◽

Deep Belief Network ◽

Generative Model ◽

Belief Network ◽

Probabilistic Generative Model

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