Real time detection of low adhesion in the wheel/rail contact

• DOI: 10.1177/0954409713503634
• Publication Date: 2013-09-19T03:54:24Z
• Authors: Peter Hubbard; Chris Ward; Roger Dixon; Roger Goodall
• Keywords: Bogie; Data Processing

Condition monitoring of railway vehicles has been highlighted by the industry as a key enabling technology for future system development. The primary uses this could be improvement maintenance procedures and/or identification high-risk vehicle running conditions. Advanced processing signals means these tasks accomplished without use cost prohibitive sensors. This paper presents on-board detection low-adhesion conditions during normal operation vehicle. Two different methods are introduced. first method is model-based approach that Kalman–Bucy filter to estimate creep forces, with subsequent post interpretation into adhesion levels. second non targets assessment relationships between dynamic responses observe any behavioural differences result an adhesion-level change. Both evaluated in specific case studies using British Rail (BR) Mark 3 coach, inclusive BR BT-10 bogie, and generic modern passenger based on contemporary bogie design. These were chosen typical application opportunities within UK. results validated data generated multi-body simulation software VAMPIRE® realistic inputs, representing scientific achievement.