A hybrid memetic algorithm for simultaneously selecting features and instances in big industrial iot data for predictive maintenance

Yu Lin Liang, Chih Chi Kuo, Chun Cheng Lin

研究成果: Conference contribution同行評審

2 引文 斯高帕斯(Scopus)

摘要

In Industry 4.0, various types of IoT sensors which are installed on machines to collect data for predictive maintenance. As the collected data increases, there are more missing values and noisy data. Related studies have already proposed various methods to solve the problems in big data. Among them, most studies focused on either feature selection or instance selection for data preprocessing before training forecast models. Metaheuristic algorithm is one of the mainstream methods in data preprocessing. However, most of these studies rarely considered feature and instance selection simultaneously. In addition, they seldom focused on noisy data. Therefore, this work combines the UCI datasets with noisy data to simulate the real situation. Memetic algorithm (MA) has excellent performance in machine learning of data selection, and variable neighborhood search (VNS) was also proved to be widely applied to the systematic change of local search algorithms. This work proposes a hybrid MA and VNS to find a new subset that maximizes the accuracy of the classifier while preserving the minimum amount of data by feature and instance selection simultaneously. Experimental results show that the proposed method can efficiently reduce the amount of data and the ratio of noisy data. By comparison with other metaheuristic algorithms, the proposed method has good performance by an excellent balance between exploration and exploitation.

原文English
主出版物標題Proceedings - 2019 IEEE 17th International Conference on Industrial Informatics, INDIN 2019
發行者Institute of Electrical and Electronics Engineers Inc.
頁面1266-1270
頁數5
ISBN(電子)9781728129273
DOIs
出版狀態Published - 7月 2019
事件17th IEEE International Conference on Industrial Informatics, INDIN 2019 - Helsinki-Espoo, Finland
持續時間: 22 7月 201925 7月 2019

出版系列

名字IEEE International Conference on Industrial Informatics (INDIN)
2019-July
ISSN(列印)1935-4576

Conference

Conference17th IEEE International Conference on Industrial Informatics, INDIN 2019
國家/地區Finland
城市Helsinki-Espoo
期間22/07/1925/07/19

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