@inproceedings{81b529c71f9344eb9424e17be275c49a,
title = "The fusion analysis between tool failure mechanism and process signal",
abstract = "The cutting tool condition during machining is closely related to the accuracy and roughness of the workpiece. The realization of the important aspects in intelligent manufacturing, such as perception, analysis and decision-making relies on the condition monitoring technology. As an important concern during processing, a number of studies are being done by many researchers for tool reliability based on condition monitoring technology. This paper will review the fusion analysis between tool failure mechanism and process signal. The methods and objects in this area will be teased out. And an up-to-date comprehensive survey of the cutting process signals, failure mechanism analysis for signal selection and multi-sensor information fusion will be provided. Finally, the future challenges and trends will also be presented.",
keywords = "cutting Tool, failure mechanism analysis, fusion analysis, signal selection",
author = "Jiahuan Sun and Wei Dai and Bo Wang and Nan Jiang",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 10th Prognostics and System Health Management Conference, PHM-Qingdao 2019 ; Conference date: 25-10-2019 Through 27-10-2019",
year = "2019",
month = oct,
doi = "10.1109/PHM-Qingdao46334.2019.8943030",
language = "英语",
series = "2019 Prognostics and System Health Management Conference, PHM-Qingdao 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Wei Guo and Steven Li and Qiang Miao",
booktitle = "2019 Prognostics and System Health Management Conference, PHAI-Qingdao 2019",
address = "美国",
}