Searched for: author%3A%22Yan%2C+Gaowei%22
(1 - 11 of 11)
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Zhang, Tianming (author), Yan, Gaowei (author), Li, Rong (author), Xiao, Shuyi (author), Pang, Y. (author)
The industrially collected process data usually exhibit non-Gaussian and multi-mode characteristics. Due to sensor failures, irregular disturbances, and transmission problems, there are unavoidable outliers that make the data exhibit heavy-tailed characteristics. To this end, a variational auto-encoder regression method based on the mixture...
journal article 2024
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Zuo, Hui (author), Yan, Gaowei (author), Lu, Ruochen (author), Li, Rong (author), Xiao, Shuyi (author), Pang, Y. (author)
Accurately predicting runoff is crucial for managing water resources, preventing and mitigating floods, scheduling hydropower plant operations, and protecting the environment. The hydrological dynamic composite system that forms runoff is complex and random, and seemingly random behavior may be caused by nonlinear variables in a simple...
journal article 2023
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Zhang, Z. (author), Yan, Gaowei (author), Qiao, Tiezhu (author), Fang, Yaling (author), Pang, Y. (author)
Aiming at the problem of mismatch between real-time data distribution and modeling data distribution caused by the change of working conditions in industrial process, which leads to the performance deterioration of the soft sensor model, a multi-source unsupervised soft sensor method based on joint distribution alignment and mapping structure...
journal article 2022
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Zhao, Zhijun (author), Yan, Gaowei (author), Ren, Mifeng (author), Cheng, Lan (author), Zhu, Zhujun (author), Pang, Y. (author)
The traditional soft sensor models are based on the independent and identical distribution assumption, which are difficult to adapt to changes in data distribution under multiple operating conditions, resulting in model performance deterioration. The domain adaptive transfer learning methods learn knowledge in different domains by means of...
journal article 2022
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Yang, Ruiyun (author), Qiao, Tiezhu (author), Pang, Y. (author), Yang, Yi (author), Zhang, Haitao (author), Yan, Gaowei (author)
A novel approach based on infrared spectrum analysis for early-warning of longitudinal tearing of the conveyor belt was proposed in the paper. Unlike most existing methods, the proposed method monitors the change process of the infrared radiation field of the longitudinal tearing through the infrared thermal imaging technology, and judges...
journal article 2020
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Pang, Y. (author), Yan, Gaowei (author), Qiao, Tiezhu (author)
In various industry productions belt conveyors are widely used for continuous dry bulk material transport. A large scale belt conveying system is generally composed of cascaded single conveyors consuming considerable electric power. According to DIN22101 regulating the belt speed and thereby maximizing the load on the belt may lead to a...
conference paper 2020
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Zhang, Zheming (author), Wang, Fang (author), Pang, Y. (author), Yan, Gaowei (author)
The problem of misalignment of the original measurement model is caused by nonlinear, time-varying characteristic of the batch process. In this paper, a method based on geodesic flow kernel (GFK) for feature transfer is proposed. By mapping data into the manifold space, the feature transfer from source domain to target domain is implemented....
conference paper 2020
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Guo, Xuqi (author), Yan, F. (author), Pang, Y. (author), Yan, Gaowei (author)
In the operation process of wet ball mill, there are often multi-modal and multi-condition problems. In this paper, a multi-view based domain adaptive extreme learning machine (MVDAELM) was used to measure the mill load. Firstly, the correlation relationship between the load parameters and the two views (vibration and acoustic signals of the...
conference paper 2019
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Qiao, Tiezhu (author), Chen, Lulu (author), Pang, Y. (author), Yan, Gaowei (author)
Infrared and visible light image fusion technology is a hot spot in the research of multi-sensor fusion technology in recent years. Existing infrared and visible light fusion technologies need to register before fusion because of using two cameras. However, the application effect of the registration technology has yet to be improved. Hence, a...
journal article 2018
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Yan, Gaowei (author), Jia, Songda (author), Ding, Jie (author), Xu, Xinying (author), Pang, Y. (author)
In this paper, a local cloud model similarity measurement (CMSM) is proposed as a novel method to measure the similarity of time series. Time series similarity measurement is an indispensable part for improving the efficiency and accuracy of prediction. The randomness and uncertainty of series data are critical problems in the processing of...
journal article 2018
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Guo, Xuqi (author), Pang, Y. (author), Yan, Gaowei (author), Qiao, Tiezhu (author)
Multi-layer Artificial Neural Networks (ANN) has caught widespread attention as a new method for time series forecasting due to the ability of approximating any nonlinear function. In this paper, a new local time series prediction model is established with the nearest neighbor domain theory, in which the hybrid Euclidean distance is used as...
conference paper 2017
Searched for: author%3A%22Yan%2C+Gaowei%22
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