Asset Management, WTMS & Monitoring in Rail Infrastructure


Arjan Stander
Senior Consultant Maintenance Repair & Overhaul at ADSE Consulting & Engineering

Presentation title:
Condition Based Maintenance in aerospace – cross industry learning

Condition based maintenance (CBM) is nothing new. However, with the onset of more advanced sensor technology, cost effective data transfer possibilities and Big Data analytics the barriers to using more and more sensor data for CBM have gone down. One sector, where sensor based CBM has been widely used for some decades is the aerospace industry. This paper lays out the current best practice and use of sensor data in the aerospace. In aerospace, the use of sensor data can be roughly classified in three areas. • Inflight transfer of Diagnostics data allowing for more effective and in advance troubleshooting. This allows for a reduction of ground time and therefore an increase in aircraft availability. Examples of diagnostics data are seen in various Aircraft electronics components, aircraft complex integrated aircraft systems.

Speaker biography:
After graduating from Oregon State University in 2002, Arjan has held various positions within the airline maintenance industry. He started off as an Avionics Engineer with KLM Engineering & Maintenance and moved on to VLM Airlines where he was responsible for engine maintenance and became Engineering Manager. In 2008 he moved to JetNetherlands where he worked as Maintenance Manager. Arjan then worked with the Amsterdam University of Applied Science where he focused on practical research in LEAN and Data Mining in small and medium MROs. Arjan is currently employed at ADSE Consulting & Engineering, where he is responsible for MRO and Big Data services. He is also an active RAM/LCC consultant in the rail industry. His expertise is in aerospace and rail maintenance & asset management with a special emphasis on the application of LEAN, Six Sigma, TOC and the use of Data Science.

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