1611003

Predictive Maintenance in the Energy and Process Industry


Early summer 2022
Exchange with experts
Presence Conference or Hybrid Conference

We are currently observing a change in the framework of how we manage facilities, structures, components, and other construction during their lifetime. If maintenance is performed only when needed and not at regular pre-set intervals it can reduce costs, increase the efficiency and increase the residual life. Predictive Maintenance goes along with the increasing digitalization in all industrial sectors.

Based on Big Data, the condition of plants and their components are assessed and the need for their maintenance is identified. The next step is prescriptive maintenance which adapts to the operation of plants and components automatically, so that the maintenance required is optimized.

TÜV SÜD provides with the conference Predictive Maintenance in the Energy and Process Industry a forum where you can gain information on the state of the art and where you have the chance to meet experts from the respective industries in virtual chat rooms as well as in person in Munich. This conference follows the previous TÜV SÜD conference on “Predictive Maintenance” in 2019”, but this year is addressing an international audience and will be held as a hybrid conference.

The main goals are the exchange of practical experiences, different Predictive Maintenance approaches as well as state of the art monitoring, diagnosis and test methods. What is useful and provides cost benefits? How much monitoring makes sense? Which new approaches outperform current maintenance strategies?

Gesamtpreis (Brutto)

975,80 €

inkl. 155,80 € MwSt.


Preisdetails ausblenden Preisdetails einblenden


Nettosumme
820,00 €
zuzüglich 19 % MwSt.
155,80 €

Endpreis   inkl. 19 % MwSt.
975,80 €

Derzeit nicht verfügbar

Dauer

Early summer 2022

The conference is aimed at:

  • Employees from the energy and process industries, wind and geothermal energy
  • Maintenance engineers
  • Manufacturers and suppliers of plants and components
  • Service providers and inspection companies
  • Representatives of authorities and associations
  • Employees of universities and research institutes
  • Experts and technical insurers

Hinweis

Unfortunately the conference Predictive Maintenance in the Energy and Process Industry was postponed to early summer 2022. The new conference date will be published as soon as possible on this site.

Ihr Nutzen

Early booking: €820,00 plus current VAT (if applicable) by booking before October 1st. From October 1st, 2021: €890,00 plus current VAT (if applicable)

If registration via our webshop is not possible, please send us an email to [email protected].
 
Information

November 10, 2021

Maintenance Strategy

Smart maintenance – evolution and revolution
Bernhard Strack, Florian Defèr, FIR e. V. an der RWTH Aachen (DE)

Selection of the appropriate maintenance strategy
Martin Kloesters, ifm diagnostic gmbh; Christian Doll, ifm electronic gmbh (DE)

Asset criticality analysis – a practical tool for the reliability strategy development
Joshi Nishit, Dr. Edwin Becker, Fluke Deutschland GmbH (DE)

Risk based inspection and monitoring of critical process parameters
Henry Ramirez, SABIC Limburg B.V. (NL)

Deep dive in integrity operating windows
Luciano Narcisi, Geert Henk Wijnants, Stork (NL)

Future Trends I

Integrating multiple CBM technologies into a reliability improvement program
Jason Tranter, Mobius Institute (AUS)

NDT and sensors becoming natural allies by digital transformation and IoT
Dr. Johannes Vrana, Vrana GmbH – NDE Consulting and Solutions (DE)
 
Future Trends II

The concept of the digital twin to revolutionise the infrastructure maintenance: the pilot project smartBRIDGE Hamburg
Dr. Marc Wenner, MKP GmbH; Markus Meyer-Westphal, customQuake Gmbh; Dr. Martin Herbrand, WTM Engineers GmbH; Christof Ullerich, Hamburg Port Authority AöR (DE)

The digital twin swiss knife – asset performance management using hybrid digital twin concepts
Dr. Altuğ Emiroğlu, Dr. Christian Geiss, Manuel Gramlich, Robin Weber, clockworkX GmbH (DE)

Digitalization & lubricant analyses – an efficient partnership
Stefan Mitterer, Michael Linnerer, Oelcheck GmbH (DE)

Case study: Evaluation of a vibration problem by means of statistical methods
Dr. Matthias Humer, Uniper Anlagenservice GmbH; Markus Ahorner, Ahorner & Innovators GmbH (DE)

IQ Energy – next level CHP. Automated.digitized.smart
Daniela Egger, Thomas Schrimpf, E.ON Energy Projects GmbH (DE)

Panel discussion:
Topic: Looking back at the developments in the recent years, what will become real in 10 years?


November 11, 2021

Structural Health Monitoring I

Numerical analysis of deposition of corrosion products on heat transfer surfaces of heat exchangers as part of root-cause analysis of failure and/or optimization of maintenance and monitoring concept
Dr. Luciana Rudolph, Jörg Fandrich, Framatome GmbH (DE)

Quantitative monitoring of infrastructure using solar loading thermography
Samuel Klein, Prof. Dr. Hans-Georg Herrmann, Universität des Saarlandes / Fraunhofer-Institut für Zerstörungsfreie Prüfverfahren IZFP (DE)

Condition monitoring and assessment of non-standard boiler components – State of the art using the example of the boiler circulation pump
Patrick Buhl, Ralf Nothdurft, EnBW Energie Baden-Württemberg AG (DE)

Structural Health Monitoring II

Permanent plant health and plant performance monitoring and interpretation by artificial intelligence
Dr. César Buque, TÜV SÜD AG; Thomas Froese, atlan-tec Systems GmbH; Dr. Michael Sawatzki, Technical University Dresden (Flexora); Dr. Hans-Volkmar Schwarz, TÜV SÜD Chemie Service GmbH (DE)

Corrosion monitoring of insulated pressure vessels using guided waves
Dr. Lars Schubert, Robert Neubeck, Dr. Bianca Weihnacht, Fraunhofer-Institut für Keramische Technologien und Systeme IKTS; Dr. Arne Ulrik Bindingsbø, Dr. Jan-Magnus Østvik, Equinor
(NOR)

CADIS – Data analytics platform solution: latest developments and application examples
Dr. Francis Fomi Wamba, O. Goll, A. Blanchard, Framatome GmbH (DE)

A comprehensive condition assessment for predictive maintenance and residual service lifetime determination of pressure vessels and pipes
Detlef Rieck, ENCOS GmbH & Co. KG; Stefan Stöcker, DMT GmbH & Co. KG (DE)
 
Non destructive assessment

Direct and remote visual inspection technique on composite-structures
Friedrich Wilhelm Bauer, Hochschule Hannover (DE)

A non-contact torque sensor for condition monitoring – principle, signal analysis and application in a digital twin
Prof. Dr. Thomas Kuttner, Universität der Bundeswehr München, Institut für Fahrzeugtechnik und Mechanik; Tobias Ettenauer, Philipp van Os, Magnetic Sense (DE)

Practical implementation of structural inspection on the basis of selected examples
Dr. Alexander Fischer, HOCHTIEF Engineering GmbH Consult IKS (DE)

Sensor-data analytics to support predictive maintenance
Thomas Kemmerich, Dr. Frédéric Kihm, HBK – HOTTINGER, BRÜEL & KJÆR GmbH (DE)


Committee

Dr. Edwin Becker
Fluke Deutschland GmbH

Steffen Bergholz
Framatome GmbH

Dr. Stefan Buse
TÜV SÜD Industrie Service GmbH

Dr. Jan Ulrich
BASF SE

Prof. Dr.-Ing. habil. Dipl.-Geophys Christian U Große
TU München

Stefan Guenther
Linde Plc.

Prof. Dr. Hans-Georg Herrmann
Fraunhofer Institut für zerstörungsfreie Prüfverfahren IZFP

Dr. Robert Kauer
TÜV SÜD Industrie Service GmbH

Richard Losbichler
Wacker Chemie AG

Jörn Neumann
Onyx Power

Friedrich Schöckle
AMTEC Messtechnischer Service GmbH

Dr. Jan Ulrich
BASF SE

Dr. Johannes Vrana
Vrana GmbH - NDE Consulting and Solutions

Martin Winterstein
TÜV SÜD Industrie Service GmbH




Cooperation Partners





Kooperation Predictive Maintenance


Contact


Conference Management 
Susanne Zecher
Westendstr. 160
80339 Munich
Germany
T +49 89 5791 2414

[email protected]

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