A one-week course covering gas turbine fundamentals, gas path degradation and diagnostics, digital twin architectures, augmented reality visualisation for maintenance, ontologies and data automation, spare parts optimisation, maintenance optimisation, industrial applications, big data management and more.

Gas turbine health management and condition-based maintenance depends on good understanding of gas turbine behaviour and effective condition monitoring of gas turbine engines.

The condition monitoring of gas turbine engines refers to a process of continuous monitoring of gas turbine health by using sensed information and different analytical technologies to identify the degradation, faults or malfunction of engine components or sub-systems.  It provides essential information to support condition-based operations and maintenance, aiming to optimize operation and maintenance activities when needed based on actual health and performance. It has great potential to reduce unnecessary downtime and maintenance costs, and improve availability.

At a glance

Course structure

This course is presented through a mixture of lectures, tutorials and worked examples. Printed course material is provided for delegates use during and after the course. Active participation from the delegates is strongly encouraged particularly during the worked examples in order to consolidate learning. All delegates will receive a Certificate of Attendance upon completion of this course.

Please note the first two days, part of the 4th day, and the last day of lectures are the same as those in the “Digital Twin Technologies for Gas Turbine Engines” course. Delegates who have already recently attended the “Gas Turbine Performance” course may feel it more appropriate to attend only the last 3 days of this course. Please indicate clearly on the registration form which option you wish to take.

What you will learn

The aim of the course is to provide an understanding of gas turbine performance and condition monitoring techniques and their capabilities to support condition-based operations and maintenance of gas turbine engines.

 

 

Core content

The course consists of the following elements:

  • Gas turbine engines and fundamentals
  • Gas turbine degradations and modelling
  • Gas Path Analysis (GPA) and diagnostics workshop
  • Ontologies and data automation
  • Spare parts optimisation
  • Obsolescence management
  • Maintenance optimisation
  • Digital twin architecture development
  • Gas turbine performance evaluation using operational data
  • Gas turbine digital twins for industrial gas turbines
  • Big data management

Who should attend

The course will be beneficial to engineers who are involved in operation, condition monitoring, maintenance, repair and overhaul (MRO) of gas turbine engines.


Speakers

The course is presented through lectures and tutorials conducted by members of Cranfield University’s staff all of whom have considerable academic and industrial experience.  Additional lectures will be presented by senior engineers from industry.

Concessions

20% discount for Cranfield Alumni.

10% discount when registering 3 or more delegates, from the same organisation at the same time. 

Accommodation fees are not included in the discount scheme. Please ask about our discount scheme at time of booking.

Accommodation options and prices

This course is non-residential. If you would like to book accommodation on campus, please contact Mitchell Hall or Cranfield Management Development Centre directly. Further information about our on campus accommodation can be found here. Alternatively you may wish to make your own arrangements at a nearby hotel.

Location and travel

Cranfield University is situated in Bedfordshire close to the border with Buckinghamshire. The University is located almost midway between the towns of Bedford and Milton Keynes and is conveniently situated between junctions 13 and 14 of the M1.

London Luton, Stansted and Heathrow airports are 30, 90 and 90 minutes respectively by car, offering superb connections to and from just about anywhere in the world.

For further location and travel details


Location address

Cranfield University
College Road
Cranfield
Bedford
MK43 0AL

How to apply

To apply for this course please use the online application form.

Apply now

Read our Professional development (CPD) booking conditions.