Condition monitoring system of wheel-rail contact force utilizing PQ monitoring bogie (Basic design of the analysis tool and analysis of the derailment coefficient)
The derailment coefficient is calculated from wheel-rail contact forces and it indicates the running safety of the railway vehicle especially in sharp curves. The derailment coefficient is affected by many factors such as the track irregularities, the vehicle parameters and the friction characterist...
Main Authors: | , , , , , , , , , , , |
---|---|
Format: | Article |
Language: | Japanese |
Published: |
The Japan Society of Mechanical Engineers
2017-01-01
|
Series: | Nihon Kikai Gakkai ronbunshu |
Subjects: | |
Online Access: | https://www.jstage.jst.go.jp/article/transjsme/83/846/83_16-00461/_pdf/-char/en |
_version_ | 1811221149251534848 |
---|---|
author | Yosuke ICHIYANAGI Yohei MICHITSUJI Akira MATSUMOTO Yasuhiro SATO Hiroyuki OHNO Hirotaka MORI Masuhisa TANIMOTO Atsushi IWAMOTO Tomoki FUKUSHIMA Kenta YANO Daisuke SHINAGAWA Kensuke NAGASAWA |
author_facet | Yosuke ICHIYANAGI Yohei MICHITSUJI Akira MATSUMOTO Yasuhiro SATO Hiroyuki OHNO Hirotaka MORI Masuhisa TANIMOTO Atsushi IWAMOTO Tomoki FUKUSHIMA Kenta YANO Daisuke SHINAGAWA Kensuke NAGASAWA |
author_sort | Yosuke ICHIYANAGI |
collection | DOAJ |
description | The derailment coefficient is calculated from wheel-rail contact forces and it indicates the running safety of the railway vehicle especially in sharp curves. The derailment coefficient is affected by many factors such as the track irregularities, the vehicle parameters and the friction characteristics between wheel and rail. Therefore, monitoring of the derailment coefficient is desired to evaluate the running safety of the vehicle. Recently, a new monitoring bogie which can collect time series data of the derailment coefficient during commercial operation has been developed, and a large scale data is collected. However, there was no way to use such a data efficiently because an efficient method and an analysis tool have not been developed. In this research, a new analysis tool which can easily handle a large scale data and assist analysis of the derailment coefficient has been designed using MATLAB. In addition to measuring the derailment coefficient, the wheel load reduction and the track irregularity of twist are also measured. The tool can extract points where the derailment coefficient increases from a large scale data, and quickly show detailed information. On the basis of the information displayed on the user-interface, the data analyst can identify factors that increase the derailment coefficient. Not only analysis focused on a particular curve, but also the tool has the function for comparison of some curves. Analysis of the time change of the derailment coefficient is also possible. This paper shows the basic design of the analysis tool and gives some examples of analysis using this tool. |
first_indexed | 2024-04-12T07:54:21Z |
format | Article |
id | doaj.art-4c057fc23220470a80e8f05e0cf83191 |
institution | Directory Open Access Journal |
issn | 2187-9761 |
language | Japanese |
last_indexed | 2024-04-12T07:54:21Z |
publishDate | 2017-01-01 |
publisher | The Japan Society of Mechanical Engineers |
record_format | Article |
series | Nihon Kikai Gakkai ronbunshu |
spelling | doaj.art-4c057fc23220470a80e8f05e0cf831912022-12-22T03:41:32ZjpnThe Japan Society of Mechanical EngineersNihon Kikai Gakkai ronbunshu2187-97612017-01-018384616-0046116-0046110.1299/transjsme.16-00461transjsmeCondition monitoring system of wheel-rail contact force utilizing PQ monitoring bogie (Basic design of the analysis tool and analysis of the derailment coefficient)Yosuke ICHIYANAGI0Yohei MICHITSUJI1Akira MATSUMOTO2Yasuhiro SATO3Hiroyuki OHNO4Hirotaka MORI5Masuhisa TANIMOTO6Atsushi IWAMOTO7Tomoki FUKUSHIMA8Kenta YANO9Daisuke SHINAGAWA10Kensuke NAGASAWA11Ibaraki UniversityIbaraki UniversityNational Traffic Safety and Environment LaboratoryNational Traffic Safety and Environment LaboratoryNational Traffic Safety and Environment LaboratoryNational Traffic Safety and Environment LaboratoryTokyo Metro Co., Ltd.Tokyo Metro Co., Ltd.Tokyo Metro Co., Ltd.Tokyo Metro Co., Ltd.Nippon Steel & Sumitomo Metal CorporationNippon Steel & Sumikin Railway Technology Co., Ltd.The derailment coefficient is calculated from wheel-rail contact forces and it indicates the running safety of the railway vehicle especially in sharp curves. The derailment coefficient is affected by many factors such as the track irregularities, the vehicle parameters and the friction characteristics between wheel and rail. Therefore, monitoring of the derailment coefficient is desired to evaluate the running safety of the vehicle. Recently, a new monitoring bogie which can collect time series data of the derailment coefficient during commercial operation has been developed, and a large scale data is collected. However, there was no way to use such a data efficiently because an efficient method and an analysis tool have not been developed. In this research, a new analysis tool which can easily handle a large scale data and assist analysis of the derailment coefficient has been designed using MATLAB. In addition to measuring the derailment coefficient, the wheel load reduction and the track irregularity of twist are also measured. The tool can extract points where the derailment coefficient increases from a large scale data, and quickly show detailed information. On the basis of the information displayed on the user-interface, the data analyst can identify factors that increase the derailment coefficient. Not only analysis focused on a particular curve, but also the tool has the function for comparison of some curves. Analysis of the time change of the derailment coefficient is also possible. This paper shows the basic design of the analysis tool and gives some examples of analysis using this tool.https://www.jstage.jst.go.jp/article/transjsme/83/846/83_16-00461/_pdf/-char/enrailwayderailment coefficientmonitoringwheel-rail contactdata analysis |
spellingShingle | Yosuke ICHIYANAGI Yohei MICHITSUJI Akira MATSUMOTO Yasuhiro SATO Hiroyuki OHNO Hirotaka MORI Masuhisa TANIMOTO Atsushi IWAMOTO Tomoki FUKUSHIMA Kenta YANO Daisuke SHINAGAWA Kensuke NAGASAWA Condition monitoring system of wheel-rail contact force utilizing PQ monitoring bogie (Basic design of the analysis tool and analysis of the derailment coefficient) Nihon Kikai Gakkai ronbunshu railway derailment coefficient monitoring wheel-rail contact data analysis |
title | Condition monitoring system of wheel-rail contact force utilizing PQ monitoring bogie (Basic design of the analysis tool and analysis of the derailment coefficient) |
title_full | Condition monitoring system of wheel-rail contact force utilizing PQ monitoring bogie (Basic design of the analysis tool and analysis of the derailment coefficient) |
title_fullStr | Condition monitoring system of wheel-rail contact force utilizing PQ monitoring bogie (Basic design of the analysis tool and analysis of the derailment coefficient) |
title_full_unstemmed | Condition monitoring system of wheel-rail contact force utilizing PQ monitoring bogie (Basic design of the analysis tool and analysis of the derailment coefficient) |
title_short | Condition monitoring system of wheel-rail contact force utilizing PQ monitoring bogie (Basic design of the analysis tool and analysis of the derailment coefficient) |
title_sort | condition monitoring system of wheel rail contact force utilizing pq monitoring bogie basic design of the analysis tool and analysis of the derailment coefficient |
topic | railway derailment coefficient monitoring wheel-rail contact data analysis |
url | https://www.jstage.jst.go.jp/article/transjsme/83/846/83_16-00461/_pdf/-char/en |
work_keys_str_mv | AT yosukeichiyanagi conditionmonitoringsystemofwheelrailcontactforceutilizingpqmonitoringbogiebasicdesignoftheanalysistoolandanalysisofthederailmentcoefficient AT yoheimichitsuji conditionmonitoringsystemofwheelrailcontactforceutilizingpqmonitoringbogiebasicdesignoftheanalysistoolandanalysisofthederailmentcoefficient AT akiramatsumoto conditionmonitoringsystemofwheelrailcontactforceutilizingpqmonitoringbogiebasicdesignoftheanalysistoolandanalysisofthederailmentcoefficient AT yasuhirosato conditionmonitoringsystemofwheelrailcontactforceutilizingpqmonitoringbogiebasicdesignoftheanalysistoolandanalysisofthederailmentcoefficient AT hiroyukiohno conditionmonitoringsystemofwheelrailcontactforceutilizingpqmonitoringbogiebasicdesignoftheanalysistoolandanalysisofthederailmentcoefficient AT hirotakamori conditionmonitoringsystemofwheelrailcontactforceutilizingpqmonitoringbogiebasicdesignoftheanalysistoolandanalysisofthederailmentcoefficient AT masuhisatanimoto conditionmonitoringsystemofwheelrailcontactforceutilizingpqmonitoringbogiebasicdesignoftheanalysistoolandanalysisofthederailmentcoefficient AT atsushiiwamoto conditionmonitoringsystemofwheelrailcontactforceutilizingpqmonitoringbogiebasicdesignoftheanalysistoolandanalysisofthederailmentcoefficient AT tomokifukushima conditionmonitoringsystemofwheelrailcontactforceutilizingpqmonitoringbogiebasicdesignoftheanalysistoolandanalysisofthederailmentcoefficient AT kentayano conditionmonitoringsystemofwheelrailcontactforceutilizingpqmonitoringbogiebasicdesignoftheanalysistoolandanalysisofthederailmentcoefficient AT daisukeshinagawa conditionmonitoringsystemofwheelrailcontactforceutilizingpqmonitoringbogiebasicdesignoftheanalysistoolandanalysisofthederailmentcoefficient AT kensukenagasawa conditionmonitoringsystemofwheelrailcontactforceutilizingpqmonitoringbogiebasicdesignoftheanalysistoolandanalysisofthederailmentcoefficient |