We are the Swiss Smart Maintenance Network. Our network consists of industry experts and researchers from Swiss companies and universities who develop and employ intelligent maintenance systems, machine-learning based maintenance methods and smart services related to the maintenance of assets and infrastructure. Our network’s goal is to promote Smart Maintenance product and service developments in Swiss companies. Our events help keep our members up to date with the latest developments in Smart Maintenance applications and research. We promote the sharing of knowledge and experiences between our members to support them and their projects. Our network events offer a platform for a professional network of experts in smart-maintenance related product and services in Swiss industry and research institutions. We also provide support with Innosuisse innovation funding to our members. The network events are lead by Dr. Angela Meyer and Dr. Thomas Palmé as academic and industrial leads. To join upcoming network events please contact Dr. Angela Meyer, angela.meyer@zhaw.ch.

Academic leader: Dr. Angela Meyer, ZHAW, angela.meyer@zhaw.ch

Industrial leader: Thomas Palmé, General Electric, thomas.palme@ge.com

Upcoming Events:

Webinar 28.08.2020

Program:

14.00 Welcome

14.10 Florian Pitschi, Swisscom: Condition Monitoring at Meier Tobler – An IoT journey of a Swiss company

Meier Tobler is a Swiss company selling heating and cooling systems. Together with Swisscom, they started their IoT journey more than three years ago. Florian Pitschi will explain why they started the journey, where Meier Tobler are now, showing different components of the employed solution in the different IoT layers  from PLC data extraction, device management up to condition monitoring, and some possible next steps.

Florian Pitschi holds a Master’s degree in information technology from the University of Ulm and accomplished a doctorate in computational biology in Shanghai on a Max Planck scholarship. Florian has been working as a data solution architect at Swisscom since 2015.

Florian Pitschi holds a Master’s degree in information technology from the University of Ulm and accomplished a doctorate in computational biology in Shanghai on a Max Planck scholarship. Florian has been working as a data solution architect at Swisscom since 2015.

14.35 Jianwen Meng, Université Paris-Sud: Lithium-ion battery monitoring and fault diagnosis for embedded application

Thanks to their high energy/power density and extended life cycle, lithium-ion batteries (LIBs) are currently the state-of-the-art power sources for electrified powertrain systems. Safety operation of LIBs is of vital importance for the development of electric vehicles (EVs). However, reliability and safety of electrified vehicle can be compromised due to overcharge (OC), overdischarge (OD),  internal short circuit (ISC) or external short circuit (ESC) of the battery. They can cause irreversible battery damages, or even lead to battery thermal runaway (TR), which is a catastrophic failure of on-board batteries. Therefore, fault diagnosis and mitigation strategies for EVs’ battery are critical functions to prevent TR.To this end, this presentation will focus on battery incipient short-circuit (SC) diagnosis. Because SC is an important stage before TR regardless of different kinds of battery abuse conditions. Furthermore, during the incubation period of SC, no electrical or thermal thresholds are exceeded for a long time before TR. Therefore, detection of incipient SC at its earliest stage is meaningful as it can prevent battery failure. However, incipient SC fault signature is weak as it may look like healthy operating conditions and fault features may be concealed in environmental nuisances. Hence its detection is challenging.

Jianwen Meng received the Master’s degree in Electrical engineering from University of Nantes, Nantes, France, in 2017. He is currently working toward the Ph.D. degree with the ESTACA Engineering School, Saint-Quentin-en-Yvelines, France; and also with GeePs | Group of Electrical Engineering - Paris, CNRS, CentraleSupélec, Université Paris-Saclay, Sorbonne Université, France with Prof. Demba Diallo and Prof. Moussa Boukhnifer. Jianwen’s research interests include fault diagnosis, fault-tolerant control and energy management with the background of electric vehicle.

Recent Events:

Program:

10:00 - 10:45: “Vibration-based fault detection in CNC machines” presented by Dr. Farzam Farbiz

10:45 - 11:30: “Digital services in the mobility market: how to optimize value with co-creation” presented by Ruben Lorenzo

Dr. Farzam Farbiz is currently a senior scientist with the Agency for Science, Technology, and Research (A*STAR), Singapore. His research interest is on using physics-based AI to improve the performance of data-driven machine learning models for manufacturing applications.

Ruben André Lorenzo is the Head of Sales at Siemens Mobility Services. He has been with Siemens since 2009 and is responsible for developing innovative services with a focus on the digital service business.

Our keynote presentation focusses on “Condition-based Maintenance and Resistance to Change” at the German engineering company Heidelberger Druckmaschinen. Hanna Sotnikova of USU project partners will present the solutions and experiences made as part of this comprehensive digitalization and smart maintenance project. We also look forward to Work in Progress discussed by Lee Sacco of Oracle, followed by an Apero afterwards.

3:30 pm Welcome & Introduction

3:45 pm “Heidelberger Druckmaschinen: Condition-based Maintenance and Resistance to Change”, presented by Hanna Sotnikova (USU)

4:30 pm Work-in-Progress, presented by Lee Sacco (Oracle)

4:50 pm News & Outlook

This networking event will feature two talks on current smart maintenance initiatives at Post CH and Amberg Group. The talks are followed by an apéro with plenty of networking opportunities.

New! The second part of the event will be dedicated to a Work-in-Progress Session, a workshop session for discussing Smart Maintenance challenges of individual participants.

3:30 pm Welcome & Introduction 

3:45 pm ”Predictive Maintenance at Post CH” and “Deep-learning for Tunnel inspections at Amberg Group”, presented by Marc Tesch of Lean BI

4:30 pm Work-in-Progress Session followed by Apero around 5 pm

Pre-Session:

2:30 pm Meet-an-Expert