Browsing NTNU Open by Author "Wang, Yi"
Now showing items 1-10 of 10
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A data-driven method based on deep belief networks for backlash error prediction in machining centers
Li, Zhe; Wang, Yi; Wang, Kesheng (Journal article; Peer reviewed, 2017)Backlash error occurs in a machining center may lead to a series of changes in the geometry of the components and subsequently deteriorate the overall performance of the equipment. Due to the uncertainty of mechanical wear ... -
A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment
Li, Zhe; Li, Jingyue; Wang, Yi; Wang, Kesheng (Journal article; Peer reviewed, 2019)Anomaly in mechanical systems may cause equipment to break down with serious safety, environment, and economic impact. Since many mechanical equipment usually operates under tough working environments, which makes them ... -
An Improved Hybrid Algorithm Based on Biogeography/Complex and Metropolis for Many-Objective Optimization
Wang, Chen; Wang, Yi; Wang, Kesheng; Dong, Yao; Yang, Yang (Journal article; Peer reviewed, 2017)It is extremely important to maintain balance between convergence and diversity for many-objective evolutionary algorithms. Usually, original BBO algorithm can guarantee convergence to the optimal solution given enough ... -
The Application of Industry 4.0 Technologies in Sustainable Logistics: A Systematic Literature Review (2012-2020) to Explore Future Research Opportunities
Sun, Xu; Yu, Hao; Solvang, Wei Deng; Wang, Yi; Wang, Kesheng (Peer reviewed; Journal article, 2021)Nowadays, the market competition becomes increasingly fierce due to diversified customer needs, stringent environmental requirements, and global competitors. One of the most important factors for companies to not only ... -
Automatic detection of false positive RFID readings using machine learning algorithms
Ma, Haishu; Wang, Yi; Wang, Kesheng (Peer reviewed; Journal article, 2018)Radio frequency identification (RFID) has been widely used for the automatic identification, tracking and tracing of goods throughout the supply chain from the manufacturer to the customer. However, one technological problem ... -
Collaborative Fault Diagnosis Decision Fusion Algorithm Based on Improved DS Evidence Theory
Gao, Xiue; Chen, Bo; Chen, Shifeng; Wang, Kesheng; Wang, Yi; Xie, Wenxue; Yuan, Jin; Martinsen, Kristian; Ghosh, Tamal (Chapter, 2020)DS evidence theory has in obtaining a correct diagnosis when confronted with highly conflicting evidence, a collaborative fault diagnosis decision fusion algorithm based on an improved version of DS evidence theory is ... -
HDPS-BPSO Based Predictive Maintenance Scheduling for Backlash Error Compensation in a Machining Center
Li, Zhe; Wang, Yi; Wang, Kesheng; Li, Jingyue (LNEE;volume 484, Journal article; Peer reviewed, 2018)This paper presents a novel HDPS-BPSO maintenance scheduling strategy for backlash error compensation in a machining center through binary particle swarm optimization (BPSO) and data-driven regression methods. During the ... -
Intelligent predictive maintenance for fault diagnosis and prognosis in machine centers: Industry 4.0 scenario
Li, Zhe; Wang, Yi; Wang, Kesheng (Journal article; Peer reviewed, 2017)Fault diagnosis and prognosis in mechanical systems have been researched and developed in the last few decades at a very rapid rate. However, owing to the high complexity of machine centers, research on improving the ... -
Modern numerical methods and their applications in mechanical engineering
Wang, Yi; Yu, Bo; Berto, Filippo; Cai, Weihua; Bao, Kai (Journal article, 2019) -
A New Fault Identification Method Based on Combined Reconstruction Contribution Plot and Structured Residual
Chen, Bo; Wang, Kesheng; Gao, Xiue; Wang, Yi; Chen, Shifeng; Zhang, Tianshu; Martinsen, Kristian; Ghosh, Tamal (Chapter, 2020)The existing contribution plot-based reconstruction fault identification methods suffer from low identification accuracy and serious trailing effect. In this paper, a new fault identification method is proposed based on a ...