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Progress and Future Plans WA4 - Critical Zones . Professor Clive Roberts Industry Steering Group, 13 th December 2010. General progress. Research Team Dr Paul Weston – Research Fellow (50%) Rhys Davies – Technical Support (1 yr) Hongsin Kim – PhD Student (3.5 yrs)
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Progress and Future PlansWA4 - Critical Zones Professor Clive Roberts Industry Steering Group, 13th December 2010
General progress • Research Team • Dr Paul Weston – Research Fellow (50%) • Rhys Davies – Technical Support (1 yr) • Hongsin Kim – PhD Student (3.5 yrs) • A.N. Other – PhD Students (3.5 yrs) • plus potentially other PhD student opportunities
WA4: Objectives • 4.1: To identify the extent and likely causes of problems at critical zones (switches and transitions), by means of data review and additional field monitoring, and using data from WAs 1, 2 and 3 • 4.2: To assess the potential effectiveness of the interventions and component improvements identified in WA2 in reducing maintenance at critical zones • 4.3: To assess the effectiveness of improvement and remediation methods in practice by exploiting opportunities to carry out further field monitoring.
Initial work will consider.... • Practical vehicle-borne (train and road/rail vehicle) instrumentation and processing techniques suitable for in-service monitoring • Practical track side instrumentation and processing techniques suitable for track side monitoring • Methods for data collation and integration
Vehicle-borne in-service inertial measurement • Bogie mounted measurement unit • Location from tacho and GPS (pitch rate gyro and map matching) • Inertial measurement unit • Tri-axis, 10 g accelerometer @ 8kHz • 3x Single axis, 100 deg / sec gyroscope @ 8kHz
Bogie pitch rate gyroscope Bogie pitch varies along track – measure with pitch rate gyro; observe vertical alignment Works at lower speeds (1 m/s) than an equivalent accelerometer – important for in-service measurement Sensor location is unimportant – easier to install Shortest measurable wavelength defined by bogie wheelbase and primary suspension resonances (with vehicle speed) – i.e. longer wavelength defects
Left and right axlebox-mounted accelerometers Left and right rail vertical reconstruction at shorter wavelengths – where pitch rate gyro cannot measure Corrugation; dipped joints; other short wavelength irregularities
Bogie yaw rate gyroscope Bogie yaw varies along track – measure with yaw rate gyro;observe response to lateral alignment Works at lower speeds (1 m/s) than an equivalent accelerometer – important for in-service measurement Independent of bogie roll – contrast lateral accelerometer Shortest measurable wavelength defined by bogie wheelbase and primary suspension resonances (with vehicle speed)
Vehicle monitoring infrastructure:Lateral alignment • Result from yaw rate gyroscope • Processing required for optimal results • Comparable with TRV result Bogie yaw rate derived lateral alignment Processed yaw rate lateral alignment Lateral alignment [mm] TRV lateral alignment Distance along track [m]
A practical approach to data processing Monitor vertical and lateral trajectories at various wavelengths (versines) 8 m versine 1 m versine – small 8 m versine – slightly increased 1 m versine – large This allows some level of fault diagnosis at a defect by defect level and a quantification of degradation
Previous practical work on vehicle based monitoring:Class 175 monitoring
Previous practical work on vehicle based monitoring:Class 375 monitoring
Current in-service projects and extensions to support WA4 objectives Merseyrail 1 year in-service energy study: Train based: Traction and auxiliary currents and voltage Cam shaft position Driver’s handle position Tacho Inertial measurement Sub-station based: Voltage and currents
Current in-service projects and extensions to support WA4 objectives Southern 1 year in-service conductor shoe study: Train based: Traction and auxiliary currents and voltage Cam shaft position Driver’s handle position Tacho Inertial measurement Sub-station based: Voltage and currents
Laser based track side measurement • Initial trials • Horizontal line generating laser located 3.5 m from track • Angled to cover up to 16 sleeper ends • Vibration of laser source can be eliminated in further processing
Laser based track side measurement • Initial trials • Vertical position receivers – expandable to 16 sleepers are attached to sleepers • Shine horizontal laser across detector face • Record vertical movement at all sleepers simultaneously • Resolution ~20 µm • Accuracy ~0.1 mm
Further work – in-service measurement • Installation on Class 508 and Class 377 to be complete by 31/1/11 • Initial period of data collection • Liaise with Scott Wilson to gather data on specific sites • Specific workshop focussing on critical zone assessment (initial interest from DB and SNCF)
Further work – track side measurement • Further evaluate this and other methods • Consider an appropriate architecture for track side measurement that is able to: • Extend to at least16 sleepers • Automatically locate instrumentation • Automatically compute and transmit results • Chain receivers together to cover • Automate gain (sensitivity) adjustment inside receivers • Help user to adjust receivers initially
Further work - Data integration • It is important to bring together multiple datasets – this is not a straightforward task • Plan to develop a web service that is able to integrate individual signals based on position • This will allow integration of in-service, track side and other data sets (e.g. FWD, NMT…)
Relevant Background Papers • P Weston, CS Ling, C Roberts, C Goodman, P Li, R Goodall, 2007. Monitoring vertical track irregularity from in-service railway vehicles, Proceedings of the IMechE: Part F – Journal of Rail and Rapid Transit, 221(1), 75-88. • P Weston, CS Ling, C Goodman, C Roberts, P Li, R Goodall, 2007. Monitoring lateral track irregularity from in-service railway vehicles, Proceedings of the IMechE: Part F – Journal of Rail and Rapid Transit, 221(1), 89-100.
Relevant Background Papers • E Stewart, P Weston, S Hillmansen, C Roberts. Using bogie mounted sensors to understand the dynamics of 3rd rail current collection systems, accepted for publication in the RRUK special issue of the Proceedings of the IMechE: Part F – Journal of Rail and Rapid Transit. • C Ward, P Weston, E Stewart, H Li, R Goodall, C Roberts, T Mei, G Charles, R Dixon. Condition monitoring opportunities using vehicle-based sensors, accepted for publication in the RRUK special issue of the Proceedings of the IMechE: Part F – Journal of Rail and Rapid Transit.