@inproceedings{361e94f7450a440f968954ca11480d4a,
title = "A Novel Contribution Graph Based Likert Scale Method and Its Application to Real-Time Alarm Evaluation",
abstract = "In the complex process industry, alarm management plays a very important role in industrial safety production. In a traditional alarm system, alarm flooding occurs frequently due to a large number of single-variable threshold alarms, which seriously affects the operator{\textquoteright}s judgment on the order of alarm processing. For timely processing of alarms, the division of alarm priority is very important. In order to solve this problem, a novel method using Principal Component Analysis (PCA) contribution graph based Likert scale is proposed for online division of the priority of alarm variables. Different from the traditional Likert scale method, the method proposed in this paper can analyze the influence degree of each variable on the stability of the system and prioritize the alarm variables in real time. In addition, key alarm information among redundant alarms can be exactly extracted. The effectiveness of the method is verified by the Tennessee Eastman Process (TEP).",
keywords = "Alarm management, Alarm priority, Contribution plot analysis, Industrial safety, Likert scale",
author = "Zhu, \{Qun Xiong\} and Rui Ding and He, \{Yan Lin\} and Yuan Xu",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2020.; Chinese Intelligent Automation Conference, CIAC 2019 ; Conference date: 20-09-2019 Through 22-09-2019",
year = "2020",
doi = "10.1007/978-981-32-9050-1\_51",
language = "English",
isbn = "9789813290495",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "448--455",
editor = "Zhidong Deng",
booktitle = "Proceedings of 2019 Chinese Intelligent Automation Conference",
address = "Germany",
}