Innovation and collaborative, synchronized program management for new programs
Aerospace & Defense
Innovation and collaborative, synchronized program management for new programs
Explore IndustryAutomotive & Transportation
Integration of mechanical, software and electronic systems technologies for vehicle systems
Explore IndustryConsumer Products & Retail
Product innovation through effective management of integrated formulations, packaging and manufacturing processes
Explore IndustryElectronics & Semiconductors
New product development leverages data to improve quality and profitability and reduce time-to-market and costs
Explore IndustryEnergy & Utilities
Supply chain collaboration in design, construction, maintenance and retirement of mission-critical assets
Explore IndustryHeavy Equipment
Construction, mining, and agricultural heavy equipment manufacturers striving for superior performance
Explore IndustryIndustrial Machinery
Integration of manufacturing process planning with design and engineering for today’s machine complexity
Explore IndustryInsurance & Financial
Visibility, compliance and accountability for insurance and financial industries
Explore IndustryMarine
Shipbuilding innovation to sustainably reduce the cost of developing future fleets
Explore IndustryMedia & Telecommunications
Siemens PLM Software, a leader in media and telecommunications software, delivers digital solutions for cutting-edge technology supporting complex products in a rapidly changing market.
Explore IndustryMedical Devices & Pharmaceuticals
“Personalized product innovation” through digitalization to meet market demands and reduce costs
Explore IndustrySmall & Medium Business
Remove barriers and grow while maintaining your bottom line. We’re democratizing the most robust digital twins for your small and medium businesses.
Explore IndustryExploring the latest innovations in Durability Testing and Engineering
Exploring the latest innovations in Durability Testing and Engineering
Online Seminar Series exploring the latest innovations in Durability Testing and Engineering
Watch our final part of a 7 part series.
During this session, we explain how prognostic health management and failure prediction methodologies are applied to quantify the remaining useful lifetime (RUL) of components, subsystem and machines under its specific real-use conditions – instead of determining the ultimate lifetime on a statistical average.
Data analytics and virtual sensing technology are used to gather deeper system insight during condition monitoring. By connecting the real data with system simulation or CAE 3D simulation in a digital twin, we can take targeted preventive actions before a predicted failure occurs.
Ralf Leis
Service Project Manager for „Data Analytics & Durability“, Siemens Digital Industries Software
Graduated from Kaiserslautern University with a degree in Civil Engineering in 2001 and worked for Simcenter Engineering Services team since then as project engineer first, nowadays as service program manager and business development manager for data analytics and durability. He has a long-standing experience in the planning and execution of different kind of durability projects from load measurements, data processing and analysis up to CAE based fatigue life analysis.
Hello Bob (will be replaced with real first name during the actual website visit)
We want to know more about you.
There was an error with the page submission. Please try again.
First time signing up for Siemens Digital Industries Software emails? Please be sure to confirm your opt-in with the email you'll receive shortly.
Hello Bob (will be replaced with real first name during the actual website visit)
You have access to this webinar for 90 days. Please click below to start viewing.
Online Seminar Series exploring the latest innovations in Durability Testing and Engineering
Watch our final part of a 7 part series.
During this session, we explain how prognostic health management and failure prediction methodologies are applied to quantify the remaining useful lifetime (RUL) of components, subsystem and machines under its specific real-use conditions – instead of determining the ultimate lifetime on a statistical average.
Data analytics and virtual sensing technology are used to gather deeper system insight during condition monitoring. By connecting the real data with system simulation or CAE 3D simulation in a digital twin, we can take targeted preventive actions before a predicted failure occurs.
Ralf Leis
Service Project Manager for „Data Analytics & Durability“, Siemens Digital Industries Software
Graduated from Kaiserslautern University with a degree in Civil Engineering in 2001 and worked for Simcenter Engineering Services team since then as project engineer first, nowadays as service program manager and business development manager for data analytics and durability. He has a long-standing experience in the planning and execution of different kind of durability projects from load measurements, data processing and analysis up to CAE based fatigue life analysis.
User event | Registration now open!
Realize LIVE returns in person in 2022, uniting the Siemens global user community around a common mission: To co-create a better world.
Join 3,500+ of your peers to advance innovation, engineer the circular economy, and drive change that’s as sustainable as it is profitable.