Reliability Seminar on Data Science for Reliability & Root Cause Analysis

You will have the opportunity to connect and share knowledge and experiences with data science and reliability experts and enthusiasts. This will enable you to accelerate your projects, improve quality and reliability, start co-developments and discover opportunities for growth.

We will explore the importance of reliability in the high tech industry by diving into the following topics:

• What can Data Science mean for Root Cause Analysis, Condition Monitoring and Reliability Prediction?
• Will it lead to Reliability Engineering 2.0 – Life Time prediction per machine or per component based on machine data?
• How to collect the proper information and how to transform this into usable data?
• How to model the data to get accurate predictions?
• What is the role of the Reliability Engineer in connection with Data Science

The Program:

The seminar will be a mixed bag of presentations, panel discussion, and networking opportunities centered around our theme: Data Science for Reliability and Root Cause Analysis. 

We will have two parallel tracks of presentations; TRACK A: Reliability 2.0 and Data Science and TRACK B: Data Science in Predictive Maintenance and Root Cause Analysis. Participants will be able to choose which presentation they would like to join during the event.

8:30 – 9:00  Registration

9:00 – 9:15  Opening and welcome by Elly van den Bliek, Sr. Reliability & Functional Safety Specialist at Holland Innovative

9:15 – 10:15 Keynote Prof. Tiedo Tinga, professor at NLDA and University of Twente. Predictive Maintenance – Combining Data and Physics

10:15 – 11:15  Keynote Dr.-Ing. Martin Dazer, Head of Reliability and Driveline Department at IMA, University of Stuttgart. Taking Advantage of Smart Data in Reliability Assurance and Product Design

11:15 – 11:45  Network Break

11:45 – 12: 30  Speaker Presentation. TRACK A: Reliability 2.0 and Data Science and TRACK B: Data Science in Predictive Maintenance and Root Cause Analysis 

12:30 – 13:30 Lunch

13:00 – 15:00  Speaker Presentations. TRACK A: Reliability 2.0 and Data Science and TRACK B: Data Science in Predictive Maintenance and Root Cause Analysis              

15:00 – 15:30  Network Break

15:30 – 16:30  Keynote Prof. Michael Pecht, CALCE – University Maryland. Using Artificial Intelligence Methods for Data Insight Analysis, Health Monitoring, and Prognostics

16:30 – 17:15  Plenary Panel discussion with all speakers

17:15 – 18:00  Networking Drinks

During this Seminar you will have the opportunity to connect and share knowledge and experiences with data science and reliability experts and enthusiasts. This will enable you to accelerate your projects, improve quality and reliability, start co-developments and discover opportunities for growth.

Questions? Email us at: reliability@holland-innovative.nl