Defect detection in freight railcar tapered-roller bearings using vibration techniques
Constantine Tarawneh, Joseph Montalvo, Brent Wilson
Railway Engineering Science ›› 2021, Vol. 29 ›› Issue (1) : 42-58.
Defect detection in freight railcar tapered-roller bearings using vibration techniques
Currently, there are two types of defect detection systems used to monitor the health of freight railcar bearings in service: wayside hot-box detection systems and trackside acoustic detection systems. These systems have proven to be inefficient in accurately determining bearing health, especially in the early stages of defect development. To that end, a prototype onboard bearing condition monitoring system has been developed and validated through extensive laboratory testing and a designated field test in 2015 at the Transportation Technology Center, Inc. in Pueblo, CO. The devised system can accurately and reliably characterize the health of bearings based on developed vibration thresholds and can identify defective tapered-roller bearing components with defect areas smaller than 12.9 cm2 while in service.
Railcar health monitoring / Onboard condition monitoring systems / Bearing defect detection / Bearing vibration signatures / Bearing spectral analysis
[1.] |
Freight Car Components Amsted Rail. https://www.amstedrail.com/products-services/freight-car-components
|
[2.] |
Marketing, Nuthouse. Advanced Rail Engineering. Etion Digitise. http://www.ansysrail.co.za/trackside-solutions/
|
[3.] |
Stewart MF et al (2019) An implementation guide for wayside detector systems. Federal railroad administration. http://railroads.dot.gov/elibrary/implementation-guide-wayside-detector-systems
|
[4.] |
Anderson GB (2007) Acoustic detection of distressed freight car roller bearing. In: Proceedings of the JRCICE spring technical conference, Pueblo, Colorado, USA
|
[5.] |
Schöbel A, Pisek M, Karner J (2006) Hot box detection systems as a part of automated train observation in Austria. In: Towards the competitive rail systems in Europe, pp 157–161
|
[6.] |
Karunakaran S, Snyder TW (2007) Bearing temperature performance in freight cars. In: Proceedings bearing research symposium, sponsored by the AAR research program in conjunction with the ASME RTD Fall conference, Chicago, Illinois, USA
|
[7.] |
Tarawneh C, Sotelo L, Villarreal A, et al (2016) Temperature profiles of railroad tapered roller bearings with defective inner and outer rings. In: Proceedings of the ASME joint rail conference, Columbia, South Carolina, USA
|
[8.] |
|
[9.] |
Mealer A, Tarawneh C, Crown S (2017) Radiative heat transfer analysis of railroad bearings for wayside hot-box detector optimization. In: Proceedings of the ASME joint rail conference, Philadelphia, Pennsylvania, USA
|
[10.] |
Aranda J (2018) Radiative heat transfer analysis of railroad bearings for wayside thermal detector optimization. Master’s Thesis, University of Texas Rio Grande Valley
|
[11.] |
|
[12.] |
3.10-Accident Causes|Federal Railroad Administration, Office of Safety Analysis. https://safetydata.fra.dot.gov/OfficeofSafety/publicsite/Query/inccaus.aspx
|
[13.] |
Tabbachi JG, Newman RR, Leedham RC, et al (1990) Hot bearing detection with the SMART-BOLT. In: Proceedings of the ASME/IEEE joint railroad conference, pp 105–110
|
[14.] |
Technology. Amsted Digital Solutions, Amsted Rail, Inc., www.amsteddigital.com/technology/. Accessed 26 April 2019
|
[15.] |
Rail News - Timken Supplies ‘Intelligent’ Rail Bearing Technology for FRA Field Test. For Railroad Career Professionals. Progressive Railroading, 2004, https://www.progressiverailroading.com/supplier_spotlight/news/Timken-supplies-intelligent-rail-bearing-technology-for-FRA-field-test–6598
|
[16.] |
Gonzalez A (2015) Development, optimization, and implementation of a vibration-based defect detection algorithm for railroad bearings. Master’s Thesis, University of Texas Rio Grande Valley
|
[17.] |
Alvarado IL (2012) Defect detection in railroad tapered-roller bearings using vibration analysis techniques. Master’s Thesis, University of Texas-Pan American
|
[18.] |
Lima JD (2020) Residual service life prognostic models for tapered-roller bearings. Master’s Thesis, University of Texas Rio Grande Valley
|
[19.] |
Lima JD, Tarawneh C, Aguilera J, and Cuanang J (2020) Estimating the inner ring defect size and residual service life of freight railcar bearings using vibration signatures. In: Proceedings of the ASME joint rail conference, St. Louis, Missouri, USA
|
/
〈 |
|
〉 |