Estimating Vertical Profile Irregularities From Vehicle Dynamics Measurements
Track geometry is an important parameter, used by railways, for routine track maintenance. Laser based Track Recording Coaches (LTRCs) are widely availed by railways, for recording track geometry defects, such as: vertical profile, alignment, gauge etc. In this paper, a novel method for monitoring v...
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| Veröffentlicht in: | IEEE sensors journal 2020-01, Vol.20 (1), p.377-385 |
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| creator | Lathe, Astitwa Sarthak Gautam, Anirudh |
| description | Track geometry is an important parameter, used by railways, for routine track maintenance. Laser based Track Recording Coaches (LTRCs) are widely availed by railways, for recording track geometry defects, such as: vertical profile, alignment, gauge etc. In this paper, a novel method for monitoring vertical profile irregularities by in-service rail vehicle dynamics measurements has been proposed. The procedure takes as input, data from bogie installed inertial measurement unit (IMU) measuring vertical acceleration and pitch-rate, and encoder measuring longitudinal velocity. Extended Kalman Filter (EKF) with Rauch-Tung-Striebel (RTS) smoothing and Extended Kalman Particle Filter (EPF) are reviewed, for detecting vertical profile irregularities. Process model of nonlinear state estimation filters, EKF and EPF, has been developed by applying a novel analytical technique that approximates osculating circle of a point on the vertical profile curve. Further, measurement model has been devised by a novel procedure estimating curvatures from circles approximating trajectory sensed by vertical acceleration and pitch-rate curvature. Proposed method has been field-tested by comparing its output with LTRC's recorded data. |
| doi_str_mv | 10.1109/JSEN.2019.2942317 |
| format | Article |
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Laser based Track Recording Coaches (LTRCs) are widely availed by railways, for recording track geometry defects, such as: vertical profile, alignment, gauge etc. In this paper, a novel method for monitoring vertical profile irregularities by in-service rail vehicle dynamics measurements has been proposed. The procedure takes as input, data from bogie installed inertial measurement unit (IMU) measuring vertical acceleration and pitch-rate, and encoder measuring longitudinal velocity. Extended Kalman Filter (EKF) with Rauch-Tung-Striebel (RTS) smoothing and Extended Kalman Particle Filter (EPF) are reviewed, for detecting vertical profile irregularities. Process model of nonlinear state estimation filters, EKF and EPF, has been developed by applying a novel analytical technique that approximates osculating circle of a point on the vertical profile curve. Further, measurement model has been devised by a novel procedure estimating curvatures from circles approximating trajectory sensed by vertical acceleration and pitch-rate curvature. 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Laser based Track Recording Coaches (LTRCs) are widely availed by railways, for recording track geometry defects, such as: vertical profile, alignment, gauge etc. In this paper, a novel method for monitoring vertical profile irregularities by in-service rail vehicle dynamics measurements has been proposed. The procedure takes as input, data from bogie installed inertial measurement unit (IMU) measuring vertical acceleration and pitch-rate, and encoder measuring longitudinal velocity. Extended Kalman Filter (EKF) with Rauch-Tung-Striebel (RTS) smoothing and Extended Kalman Particle Filter (EPF) are reviewed, for detecting vertical profile irregularities. Process model of nonlinear state estimation filters, EKF and EPF, has been developed by applying a novel analytical technique that approximates osculating circle of a point on the vertical profile curve. Further, measurement model has been devised by a novel procedure estimating curvatures from circles approximating trajectory sensed by vertical acceleration and pitch-rate curvature. Proposed method has been field-tested by comparing its output with LTRC's recorded data.</description><subject>Acceleration</subject><subject>accelerometer</subject><subject>Accelerometers</subject><subject>alignment</subject><subject>Coders</subject><subject>Estimation</subject><subject>Extended Kalman Filter</subject><subject>Extended Kalman Particle Filter</subject><subject>Geometry</subject><subject>gyroscope</subject><subject>Gyroscopes</subject><subject>Inertial platforms</subject><subject>inertial sensors</subject><subject>Irregularities</subject><subject>Laser applications</subject><subject>Monitoring</subject><subject>Rail transportation</subject><subject>railway maintenance</subject><subject>Railway tracks</subject><subject>Railways</subject><subject>Recording</subject><subject>Sensors</subject><subject>Simulation</subject><subject>State estimation</subject><subject>Track geometry</subject><subject>Undercarriages</subject><subject>vertical profile</subject><issn>1530-437X</issn><issn>1558-1748</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kFtLwzAUgIMoOKc_QHwp-NyZW5vkUeamk00FL_gWkjSZGe06k_Zh_96UDZ_OgfOd2wfANYIThKC4e36fvUwwRGKCBcUEsRMwQkXBc8QoPx1yAnNK2Pc5uIhxAxPJCjYCq1nsfKM6v11nXzZ03qg6ewut87XNFiHYdV-r4DtvYzYPbZOgH29S7WG_VY03MVtZFftgG7vt4iU4c6qO9uoYx-BzPvuYPuXL18fF9H6ZGyxIlxeqKHWloWHcEa01ryBFulRalGXFFRTpNoQLZ6iwGBNTikozQrlDhDPsHBmD28PcXWh_exs7uWn7sE0rJSaEFBTCEicKHSgT2hiDdXIX0q9hLxGUgzU5WJODNXm0lnpuDj3eWvvPc05pyTn5A4sqaSA</recordid><startdate>20200101</startdate><enddate>20200101</enddate><creator>Lathe, Astitwa Sarthak</creator><creator>Gautam, Anirudh</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7U5</scope><scope>8FD</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0002-3239-1435</orcidid></search><sort><creationdate>20200101</creationdate><title>Estimating Vertical Profile Irregularities From Vehicle Dynamics Measurements</title><author>Lathe, Astitwa Sarthak ; Gautam, Anirudh</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c293t-5a56bdb0c78f3bbb8d041b6ab966d8a09975125fc49e223c69db7348f13872ff3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Acceleration</topic><topic>accelerometer</topic><topic>Accelerometers</topic><topic>alignment</topic><topic>Coders</topic><topic>Estimation</topic><topic>Extended Kalman Filter</topic><topic>Extended Kalman Particle Filter</topic><topic>Geometry</topic><topic>gyroscope</topic><topic>Gyroscopes</topic><topic>Inertial platforms</topic><topic>inertial sensors</topic><topic>Irregularities</topic><topic>Laser applications</topic><topic>Monitoring</topic><topic>Rail transportation</topic><topic>railway maintenance</topic><topic>Railway tracks</topic><topic>Railways</topic><topic>Recording</topic><topic>Sensors</topic><topic>Simulation</topic><topic>State estimation</topic><topic>Track geometry</topic><topic>Undercarriages</topic><topic>vertical profile</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lathe, Astitwa Sarthak</creatorcontrib><creatorcontrib>Gautam, Anirudh</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE sensors journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Lathe, Astitwa Sarthak</au><au>Gautam, Anirudh</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimating Vertical Profile Irregularities From Vehicle Dynamics Measurements</atitle><jtitle>IEEE sensors journal</jtitle><stitle>JSEN</stitle><date>2020-01-01</date><risdate>2020</risdate><volume>20</volume><issue>1</issue><spage>377</spage><epage>385</epage><pages>377-385</pages><issn>1530-437X</issn><eissn>1558-1748</eissn><coden>ISJEAZ</coden><abstract>Track geometry is an important parameter, used by railways, for routine track maintenance. Laser based Track Recording Coaches (LTRCs) are widely availed by railways, for recording track geometry defects, such as: vertical profile, alignment, gauge etc. In this paper, a novel method for monitoring vertical profile irregularities by in-service rail vehicle dynamics measurements has been proposed. The procedure takes as input, data from bogie installed inertial measurement unit (IMU) measuring vertical acceleration and pitch-rate, and encoder measuring longitudinal velocity. Extended Kalman Filter (EKF) with Rauch-Tung-Striebel (RTS) smoothing and Extended Kalman Particle Filter (EPF) are reviewed, for detecting vertical profile irregularities. Process model of nonlinear state estimation filters, EKF and EPF, has been developed by applying a novel analytical technique that approximates osculating circle of a point on the vertical profile curve. 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| subjects | Acceleration accelerometer Accelerometers alignment Coders Estimation Extended Kalman Filter Extended Kalman Particle Filter Geometry gyroscope Gyroscopes Inertial platforms inertial sensors Irregularities Laser applications Monitoring Rail transportation railway maintenance Railway tracks Railways Recording Sensors Simulation State estimation Track geometry Undercarriages vertical profile |
| title | Estimating Vertical Profile Irregularities From Vehicle Dynamics Measurements |
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