报告人：野田贤
报告时间：2014.9.5上午10:00
报告地点：逸夫会议中心中心会议室
报告人简介：
野田贤（Masaru Noda），博士，日本福冈大学教授，日本学术振兴会系统工学委员会干事，日本plant human factor学会副会长，化学工学会SIS部会干事。
2001年毕业于京都大学化学工学专业，获博士学位
2004.08 - 2012.03 奈良先端科学技術大学院大学情報科学研究科 准教授
2008.04 - 2012.03 東京大学工学系研究科化工系统工程专业 ?客座准教授（兼任）
2012.04 - 2013.03 奈良先端科学技術大学院大学情報科学研究科 客座教授（兼任）
2012.04 - 福冈大学工学部化工系统工程学科 教授
主要研究领域：系统工程，化工过程报警系统，微型化工过程工学，人因工程
报告摘要：
Industrial plan alarm systems form an essential part of the operator interfaces for automatically monitoring plant state deviations and for attracting plant operators’ attention to changes that require their intervention. In this presentation, the data-based evaluation method of plant alarms systems is introduced. The data-based evaluation method refers to operation and alarm event data in a plant. It uses event correlation analysis to detect statistical similarities among time series data of discrete alarm and operation events. Grouping correlated events on the basis of their degrees of similarity makes it easier to consider countermeasures for reducing frequently generated alarms than merely analyzing individual alarm and operation events. Case study results demonstrate the usefulness of the method for safe and stable plant operations in the chemical process industries.