Reliability Seminar 2021

We are proud to announce our LIVE Reliability Seminar on Data Science for Reliability & Root Cause Analysis:

Day: Thursday 14th of October, 2021
Location: Conference Center, High Tech Campus Eindhoven
Time: 8:30 am – 18:30 pm

During this event, we will be sharing insights and innovations on Reliability 2.0, Data Science, and Root Cause Analysis. This seminar offers the perfect opportunity to learn from our guest speakers and other key decision-makers and engineers in the field of Data Science for Reliability and 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

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

Prof. Tiedo Tinga
Prof. Tiedo Tinga


For critical systems, it is very important that maintenance is performed at the right moment. Too early maintenance leads to high costs and spoiling of system lifetime, while being too late causes failures, leading to reduced reliability and availability. Predictive maintenance can assist in achieving just-in-time maintenance, and nowadays data analytics and artificial intelligence are believed to fully enable this. This presentation will show that a purely data-driven approach is not always feasible, especially in the military domain. It will be demonstrated that combining data with (physical) degradation models and knowledge on system failure behavior can lead to a much stronger approach. Moreover, this also helps to develop effective health and condition monitoring systems. Finally, some case studies from various application fields will be used to demonstrate the proposed approach.   

Biography Tiedo Tinga is full professor Life Cycle Management at the Netherlands Defence Academy (NLDA) in Den Helder and professor in Dynamics based Maintenance at the University of Twente. He holds a MSc and PDEng in Material Science and a PhD in computational mechanics. He has been working at the National Aerospace Laboratory NLR for 10 years as a senior scientist. In 2007 he joined the Netherlands Defence Academy, and since 2012, he combines this position with the part-time full professorship at the University of Twente.

His research focuses on improving the predictability of failures, aiming to improve preventive maintenance processes and to develop advanced predictive maintenance concepts. The research is based on understanding and modelling the physics of failure, and combined with advanced health and condition monitoring and data analysis. The research is applied to assets in various sectors of industry. Tiedo now leads research programs on maintenance at both institutes and has been (co-)supervising 15 PhD and PDEng students in the past 5 years. Tiedo has published around 60 papers in international ISI journals and conferences.

10:15 – 11:15  Keynote Dr.-Ing. Martin Dazer, Head of Reliability and Driveline Department at IMA, University of Stuttgart

Dr.-Ing. Martin Dazer
Dr.-Ing. Martin Dazer


Dr. Martin Dazer completed his master’s degree in mechanical engineering at the University of Stuttgart in 2014. In 2015 Dr. Dazer began his doctorate as a research assistant in the field of reliability engineering at the Institute for Machine Components (IMA). Supported by the Knorr-Bremse AG, Dr. Dazer conducted research until the end of 2017 on simulative reliability predictions for casted components and on efficient testing methods. Since 2018, Dr. Dazer is working as the head of reliability engineering department at IMA and is also a lecturer for reliability engineering and Design of Experiments seminars as well as a consultant in the field of reliability technology, life testing and general testing methodology. In June 2019 he was awarded his PhD with his research on the topic of reliability test planning with consideration of prior knowledge from stochastic lifetime calculations.

11:15 – 11:45  Network Break

Topic: Reliability 2.0 and Data Science

11:45 – 12: 15 Dorien Lutgendorf, Reliability Specialist and Data Scientist at Holland Innovative
Taking the Leap: Expanding your Reliability work field with Data Science

Topic: Data Science in Predictive Maintenance and Root Cause Analysis.

12:15 – 12:45 Maarten de Leuw, Project Manager at ASML

Growing from Solving to Preventing Problems: Strengthening RCA and Predictive Maintenance with Data Science

12:45 – 13:45 Lunch

Topic: Reliability 2.0 and Data Science

13:45 –  14:15 Jeroen van Rijt, Director Global Validation Engineering at Inalfa Roof Systems Group

Using the Real Data: Improving Product Reliability of automotive sunroof systems  

14:15 – 14:45 Anders Gottfred Aaen, Senior Key Expert – Product Risk Management at Siemens Gamesa Renewable Energy

Moving towards more Intelligent Reliability: Data-driven and Sustainable solutions in Energy

14:45 – 15:15 Evelyne Janssen – van Dam, Quality Engineer at Canon Production Printing

Data Science adding Value in the Field: Optimizing printer productivity by pro-active use of field data

15:15 – 15:45  Network Break

Topic: Data Science in Predictive Maintenance and Root Cause Analysis.

15:45 – 16:15 Coen Smits, Sr. Product & Process Specialist at Holland Innovative

Root Cause Analysis: How can the Data help you?

16:15 – 16:45 Maarten van Noorden, Design Engineer at Sensata Technologies

Data-driven diagnostics: Effective Use of Simulation in Root Cause Investigations for Automotive Sensors

16:45 – 17:30  Plenary Panel discussion with all speakers

17:30 – 18:30  Networking Drinks

Sign Up!

If you want to join our Seminar and benefit from meeting other experts, learn from presentations, and discover new opportunities, then sign-up below!

  • Attendance of the Seminar includes refreshments, catered lunches, and networking drinks: 275 Euro (ex VAT)

Our story:

How Holland Innovative helps the high tech industry to monitor and improve their processes

The importance of reliability in solving and preventing problems in high tech

When even optimal quality is not enough: Reliability makes the difference

“It takes a disaster to realize how important reliability is” – Professor Michael Pecht

Why do things break down – and when? Material science and data science offer the answer


HBM Prenscia – Reliasoft
ARDC Europe – Applied Reliability and Durability Conference

HBM Prenscia is a global leader in providing technology and engineering software products and services for reliability, durability, and performance. ReliaSoft software provides a powerful range of solutions to facilitate a comprehensive set of reliability engineering modeling and analysis techniques.

WEISS Technik

WEISS Technik is an innovative and significant manufacturer of environmental simulation systems, specialized in the area of Environmental Simulation, Cleanroom Technology, Oven Technology and Containment Solutions.

MASER Engineering

MASER Engineering is an independent engineering service company, offering Reliability Test and Failure Analysis Services to the semiconductor and electronic systems industry since 1993.



High Tech Campus 29
5656 AE Eindhoven (NL)
T: +31 (0)40 851 4610