Abstract
Vibration-based condition monitoring is a leading field in both research and industrial world. Systems features and boundary conditions makes detectability highly case-sensitive and hence each application demands for a specific strategy. In this paper we introduce a project meant to develop a robotic tool for the assessment of railway pantographs health under strong customer requirements, such as limited frequency bandwidth and few sensors allowed. The lack of historical data and the unavailability of specimens make the case-study particularly challenging. Considerations were hence derived through numerical simulations. We took into account leakage in dashpot and clearance in a joint to investigate how faults afflict both global and local modes. The way specifications limit the suitability of frequency domain methods is pursued using the extended Modal Assurance Criterion (MACX). Phase plots shapes alteration were observed collecting responses of two points to a cosine chirp force with the aim to compare the effectiveness of this simple method with MACX performance. Structural damage is identified by both techniques but only the latter detects the leakage in the dashpot. Phase plots use needs to be delved deeper to test the suitability for the real application.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Allemang RJ (2003) The modal assurance criterion-twenty years of use and abuse. Sound Vib 37(8):14–23
Carden EP, Fanning P (2004) Vibration based condition monitoring: a review. Struct Health Monit 3(4):355–377
dos Santos F, Peeters B, Van der Auweraer H, Góes L, Desmet W (2016) Vibration-based damage detection for a composite helicopter main rotor blade. Case Stud Mech Syst Signal Process 3:22–27
Farrar C, Doebling S (1999) Damage detection and evaluation ii. In: Modal analysis and testing. Springer, pp 345–378
Krawczuk M, Ostachowicz W (1996) Damage indicators for diagnostic of fatigue cracks in structures by vibration measurements-a survey. J Theoret Appl Mech 34(2):307–326
Nichols J, Todd M, Wait J (2003) Using state space predictive modeling with chaotic interrogation in detecting joint preload loss in a frame structure experiment. Smart Mater Struct 12(4):580
Nie Z, Hao H, Ma H (2012) Using vibration phase space topology changes for structural damage detection. Struct Health Monitor 11(5):538–557
Overbey L, Olson C, Todd M (2007) A parametric investigation of state-space-based prediction error methods with stochastic excitation for structural health monitoring. Smart Mater Struct 16(5):1621
Peeters B, Lowet G, Van der Auweraer H, Leuridan J (2004) A new procedure for modal parameter estimation. Sound Vibr 38(1):24–29
Todd M, Nichols J, Pecora L, Virgin L (2001) Vibration-based damage assessment utilizing state space geometry changes: local attractor variance ratio. Smart Mater Struct 10(5):1000
Vacher P, Jacquier B, Bucharles A (2010) Extensions of the mac criterion to complex modes. In: Proceedings of ISMA international conference on noise and vibration engineering, Leuven, Belgium
West WM (1986) Illustration of the use of modal assurance criterion to detect structural changes in an orbiter test specimen. In: Proceedings of 4th international modal analysis conference, Los Angeles, CA, vol. 1, pp 1–6
Acknowledgments
The authors would like to thank Trenitalia Spa for the support given during the development of the research activities.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Santamato, G., Gabardi, M., Solazzi, M., Frisoli, A. (2017). Approaches to the Detectability of Faults in Railway Pantograph Mechanism. In: Boschetti, G., Gasparetto, A. (eds) Advances in Italian Mechanism Science. Mechanisms and Machine Science, vol 47. Springer, Cham. https://doi.org/10.1007/978-3-319-48375-7_23
Download citation
DOI: https://doi.org/10.1007/978-3-319-48375-7_23
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-48374-0
Online ISBN: 978-3-319-48375-7
eBook Packages: EngineeringEngineering (R0)