Dynamic characteristics of a switch and crossing on the West Coast main line in the UK
Jou-Yi Shih, Paul Weston, Mani Entezami, Clive Roberts
Railway Engineering Science ›› 2022, Vol. 30 ›› Issue (2) : 183-203.
Dynamic characteristics of a switch and crossing on the West Coast main line in the UK
Railway switches and crossings constitute a small fraction of linear track length but consume a large proportion of the railway track system maintenance budget. While switch and crossing (S&C) faults rarely prevent trains from running, switches and crossings are the source of many faults and need continual attention. On the rare occasions when trains are prevented from running the cost of the disruption is very high. Condition monitoring of the point operating equipment that moves the switchblades has been in use for many years but condition monitoring of the state of the switch in terms of the support and mechanical damage as trains pass over has only recently started to become possible. To this end, it is important to understand the correlation between S&C faults and sensor data that can detect those faults. This paper assesses some of the data collected from multiple sensors variously positioned on and around a switch and crossing on the UK mainline for a few days of normal train operation. Accelerometers, geophones, and strain gauges were installed at the locations where they were anticipated to be most useful. Forces at the load transfer point on the crossing nose were estimated from two separate strain gauge bridges and possible use of acceleration on the crossing is discussed. Correlations between different data are analysed and assessed and correlation between peak estimated load transfer forces and accelerations is presented. Based on the analysis, conclusions are drawn about the different types of dynamic information around S&Cs that can be obtained from a variety of sensor types.
Railway / Accelerometer / Condition monitoring / Impact force / Switch and crossing / Strain gauge
[1.] |
Capacity for rail (C4R) (2015) Operational failure modes of switch and crossing, Deliverable D13.1, EU project SCP3-GA-2013-605650. http://www.capacity4rail.eu/results. Accessed 21 Dec 2021
|
[2.] |
|
[3.] |
|
[4.] |
|
[5.] |
|
[6.] |
|
[7.] |
|
[8.] |
|
[9.] |
Barkhordari P, Galeazzi R, de Miguel Tejada A, and Santos IF (2017) Low-complexity behavioral model for predictive maintenance of railway turnouts. In: Annual conference of the prognostics and health management society, Florida, USA
|
[10.] |
|
[11.] |
|
[12.] |
|
[13.] |
|
[14.] |
Ekdahl G, Andersson L, Wrang M (2007) Instrumented wheelset technology—advances and applications, IHHA Specialist Technical Session (STS) Kiruna Sweden
|
[15.] |
|
[16.] |
|
[17.] |
|
[18.] |
|
[19.] |
|
[20.] |
|
[21.] |
|
[22.] |
SCode (Switch and Crossing Optimal Design and Evaluation) D3.1 (2019) Next generation control: monitoring and sensor systems, EU Shift2Rail S-Code project. http://www.s-code.info/results-and-publications/. Accessed 21 Dec 2021
|
[23.] |
|
[24.] |
|
[25.] |
Hixson EL (1997) Shock and Vibration Handbook (Chapter 10). In: Harris CM (ed) Mechanical impedance, 5th edn. McGraw Hill
|
[26.] |
|
[27.] |
|
[28.] |
Nielsen J (2009) Wheel–rail interface handbook. In: Lewis R, Olofsson U (eds) Chapter 8: out-of-round railway wheels. Woodhead Publishing, pp 245–279
|
[29.] |
|
[30.] |
|
[31.] |
|
[32.] |
|
[33.] |
|
/
〈 |
|
〉 |