Using Instrumented Revenue Vehicles to Inspect Track Integrity and Rolling Stock Performance in a Passenger Network during Peak Times

Siva Naidoo Lingamanaik, C. Thompson, Nithurshan Nadarajah, R. Ravitharan, Hera Widyastuti, W. K. Chiu

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

1 Citation (Scopus)

Abstract

This paper discusses the use of Instrumented Revenue Vehicles (IRV), developed by Institute of Railway Technology at Monash University, to evaluate track condition and assess the dynamic performance of the rolling stock during peak operating hours in a passenger network in Indonesia between Lamongon and Surabaya. Assessment of track condition and the dynamic responses of the vehicle is crucial in setting safe operating speeds, in the development of economical proactive maintenance plans and maximizing throughput. The track condition and vehicle responses for this study were measured using accelerometers, spring nest displacement sensors and yaw, roll and pitch rate sensors. Sensors were strategically mounted on various locations of the wheelset, bogie and carriage to evaluate track condition, monitor load transmission and measure dynamic response of the in-service vehicle over multiple runs. The acquired data was analyzed and used to develop visual hot spot maps of the track to determine regions of high dynamic response. The acceleration measurements from the unsprung mass were used to evaluate the rail vertical profiles. This evaluation was carried out in frequency domain and the low frequency components were filtered out to remove contributions from long wavelength track features. A web based reporting system was used to provide plots and figures to communicate the results. Results presented demonstrate the ability of the IRV system to assess health conditions of track, identify regions of degradation and quantify the severity of the dynamic response. This project was sponsored by the Australian Indonesian Centre (AIC) and conducted collaboratively by Institute of Railway Technology (IRT), Monash University and Institut Teknologi Sepuluh Nopember (ITS).

Original languageEnglish
Title of host publication6th Asia Pacific Workshop on Structural Health Monitoring, 6th APWSHM
Subtitle of host publication7th to 9th December 2016, Hobart, Tasmania, Australia
EditorsWing Kong Chiu, Steve Galea, Akira Mita, Nobuo Takeda
PublisherElsevier
Pages424-431
Number of pages8
DOIs
Publication statusPublished - 2017
EventAsia-Pacific Workshop on Structural Health Monitoring 2016: From Sensing to Diagnosis and Prognosis - Hobart, Australia
Duration: 7 Dec 20169 Dec 2016
Conference number: 6th

Publication series

NameProcedia Engineering
PublisherElsevier BV
Volume188
ISSN (Electronic)1877-7058

Workshop

WorkshopAsia-Pacific Workshop on Structural Health Monitoring 2016
Abbreviated titleAPWSHM 2016
CountryAustralia
CityHobart
Period7/12/169/12/16

Keywords

  • Dynamic response
  • Instrumented Rail Vehicles
  • Rail vertical profile

Cite this

Naidoo Lingamanaik, S., Thompson, C., Nadarajah, N., Ravitharan, R., Widyastuti, H., & Chiu, W. K. (2017). Using Instrumented Revenue Vehicles to Inspect Track Integrity and Rolling Stock Performance in a Passenger Network during Peak Times. In W. K. Chiu, S. Galea, A. Mita, & N. Takeda (Eds.), 6th Asia Pacific Workshop on Structural Health Monitoring, 6th APWSHM: 7th to 9th December 2016, Hobart, Tasmania, Australia (pp. 424-431). (Procedia Engineering; Vol. 188). Elsevier. https://doi.org/10.1016/j.proeng.2017.04.504
Naidoo Lingamanaik, Siva ; Thompson, C. ; Nadarajah, Nithurshan ; Ravitharan, R. ; Widyastuti, Hera ; Chiu, W. K. / Using Instrumented Revenue Vehicles to Inspect Track Integrity and Rolling Stock Performance in a Passenger Network during Peak Times. 6th Asia Pacific Workshop on Structural Health Monitoring, 6th APWSHM: 7th to 9th December 2016, Hobart, Tasmania, Australia. editor / Wing Kong Chiu ; Steve Galea ; Akira Mita ; Nobuo Takeda. Elsevier, 2017. pp. 424-431 (Procedia Engineering).
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abstract = "This paper discusses the use of Instrumented Revenue Vehicles (IRV), developed by Institute of Railway Technology at Monash University, to evaluate track condition and assess the dynamic performance of the rolling stock during peak operating hours in a passenger network in Indonesia between Lamongon and Surabaya. Assessment of track condition and the dynamic responses of the vehicle is crucial in setting safe operating speeds, in the development of economical proactive maintenance plans and maximizing throughput. The track condition and vehicle responses for this study were measured using accelerometers, spring nest displacement sensors and yaw, roll and pitch rate sensors. Sensors were strategically mounted on various locations of the wheelset, bogie and carriage to evaluate track condition, monitor load transmission and measure dynamic response of the in-service vehicle over multiple runs. The acquired data was analyzed and used to develop visual hot spot maps of the track to determine regions of high dynamic response. The acceleration measurements from the unsprung mass were used to evaluate the rail vertical profiles. This evaluation was carried out in frequency domain and the low frequency components were filtered out to remove contributions from long wavelength track features. A web based reporting system was used to provide plots and figures to communicate the results. Results presented demonstrate the ability of the IRV system to assess health conditions of track, identify regions of degradation and quantify the severity of the dynamic response. This project was sponsored by the Australian Indonesian Centre (AIC) and conducted collaboratively by Institute of Railway Technology (IRT), Monash University and Institut Teknologi Sepuluh Nopember (ITS).",
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Naidoo Lingamanaik, S, Thompson, C, Nadarajah, N, Ravitharan, R, Widyastuti, H & Chiu, WK 2017, Using Instrumented Revenue Vehicles to Inspect Track Integrity and Rolling Stock Performance in a Passenger Network during Peak Times. in WK Chiu, S Galea, A Mita & N Takeda (eds), 6th Asia Pacific Workshop on Structural Health Monitoring, 6th APWSHM: 7th to 9th December 2016, Hobart, Tasmania, Australia. Procedia Engineering, vol. 188, Elsevier, pp. 424-431, Asia-Pacific Workshop on Structural Health Monitoring 2016, Hobart, Australia, 7/12/16. https://doi.org/10.1016/j.proeng.2017.04.504

Using Instrumented Revenue Vehicles to Inspect Track Integrity and Rolling Stock Performance in a Passenger Network during Peak Times. / Naidoo Lingamanaik, Siva; Thompson, C.; Nadarajah, Nithurshan; Ravitharan, R.; Widyastuti, Hera; Chiu, W. K.

6th Asia Pacific Workshop on Structural Health Monitoring, 6th APWSHM: 7th to 9th December 2016, Hobart, Tasmania, Australia. ed. / Wing Kong Chiu; Steve Galea; Akira Mita; Nobuo Takeda. Elsevier, 2017. p. 424-431 (Procedia Engineering; Vol. 188).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

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N2 - This paper discusses the use of Instrumented Revenue Vehicles (IRV), developed by Institute of Railway Technology at Monash University, to evaluate track condition and assess the dynamic performance of the rolling stock during peak operating hours in a passenger network in Indonesia between Lamongon and Surabaya. Assessment of track condition and the dynamic responses of the vehicle is crucial in setting safe operating speeds, in the development of economical proactive maintenance plans and maximizing throughput. The track condition and vehicle responses for this study were measured using accelerometers, spring nest displacement sensors and yaw, roll and pitch rate sensors. Sensors were strategically mounted on various locations of the wheelset, bogie and carriage to evaluate track condition, monitor load transmission and measure dynamic response of the in-service vehicle over multiple runs. The acquired data was analyzed and used to develop visual hot spot maps of the track to determine regions of high dynamic response. The acceleration measurements from the unsprung mass were used to evaluate the rail vertical profiles. This evaluation was carried out in frequency domain and the low frequency components were filtered out to remove contributions from long wavelength track features. A web based reporting system was used to provide plots and figures to communicate the results. Results presented demonstrate the ability of the IRV system to assess health conditions of track, identify regions of degradation and quantify the severity of the dynamic response. This project was sponsored by the Australian Indonesian Centre (AIC) and conducted collaboratively by Institute of Railway Technology (IRT), Monash University and Institut Teknologi Sepuluh Nopember (ITS).

AB - This paper discusses the use of Instrumented Revenue Vehicles (IRV), developed by Institute of Railway Technology at Monash University, to evaluate track condition and assess the dynamic performance of the rolling stock during peak operating hours in a passenger network in Indonesia between Lamongon and Surabaya. Assessment of track condition and the dynamic responses of the vehicle is crucial in setting safe operating speeds, in the development of economical proactive maintenance plans and maximizing throughput. The track condition and vehicle responses for this study were measured using accelerometers, spring nest displacement sensors and yaw, roll and pitch rate sensors. Sensors were strategically mounted on various locations of the wheelset, bogie and carriage to evaluate track condition, monitor load transmission and measure dynamic response of the in-service vehicle over multiple runs. The acquired data was analyzed and used to develop visual hot spot maps of the track to determine regions of high dynamic response. The acceleration measurements from the unsprung mass were used to evaluate the rail vertical profiles. This evaluation was carried out in frequency domain and the low frequency components were filtered out to remove contributions from long wavelength track features. A web based reporting system was used to provide plots and figures to communicate the results. Results presented demonstrate the ability of the IRV system to assess health conditions of track, identify regions of degradation and quantify the severity of the dynamic response. This project was sponsored by the Australian Indonesian Centre (AIC) and conducted collaboratively by Institute of Railway Technology (IRT), Monash University and Institut Teknologi Sepuluh Nopember (ITS).

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Naidoo Lingamanaik S, Thompson C, Nadarajah N, Ravitharan R, Widyastuti H, Chiu WK. Using Instrumented Revenue Vehicles to Inspect Track Integrity and Rolling Stock Performance in a Passenger Network during Peak Times. In Chiu WK, Galea S, Mita A, Takeda N, editors, 6th Asia Pacific Workshop on Structural Health Monitoring, 6th APWSHM: 7th to 9th December 2016, Hobart, Tasmania, Australia. Elsevier. 2017. p. 424-431. (Procedia Engineering). https://doi.org/10.1016/j.proeng.2017.04.504