The 5 whys in Data Science and Alarm Management | exida

exida Recorded Webinars

The 5 whys in Data Science and Alarm Management

Recording Date: July 2022

Whenever we talk about alarm data in control systems for the process industry, we cannot avoid the management of an alarm database, else the alarm system will be a mess. Hence, we often see unorganized processes with up to thousands of alarms per day. The mishap is more than a nuisance for the daily operation of the plant, but it is also with safety implications. This is a series of webinars that aims to introduce everyone to Alarm Management based on ISA 18.2/IEC 62682, with the supplement of the fundamentals from Data Science and Data Analytics. 

This week, we are talking about the root causes of alarms. We will explore the philosophy of the 5 whys in data analysis and how it is used in alarm management.

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About the Presenter:

Paul Chan, CFSP

Paul Chan Paul Chan was educated at the University of Hong Kong, majoring in Biochemistry while minoring in Biology and Economics. He finished a project on RNA Bioinformatics and helped in setting up an RNA database. He had experience with Python programming language and UNIX OS system. He later finished a master’s degree in English Literary Studies and finished a few creative projects. However he rekindled his passion for Science and the technical field, and joined exida in the summer of 2014, when he was immediately put onto the SRIP project (HAZOP and SIL selection workshop) in Seoul. Later he had extensive experience with SIL verification with notable clients like ConocoPhillips and Cristal. He received his CFSP certification in Sep 2015.