Wireless Sensor Network for Helicopter Rotor Blade Vibration Monitoring: Requirements Definition and Technological Aspects

Article Preview

Abstract:

The main rotor accounts for the largest vibration source for helicopter fuselage and components. However, accurate blade monitoring has been limited due to the practical restrictions on instrumenting rotating blades. The use of Wireless Sensor Networks (WSNs) for real time vibration monitoring promises to deliver a significant contribution to rotor performance monitoring and blade damage identification. This paper discusses the main technological challenges for wireless sensor networks for vibration monitoring on helicopter rotor blades. The first part introduces the context of vibration monitoring on helicopters. Secondly, an overview of the main failure modes for rotor and blades is presented. Based on the requirements for failure modes monitoring, a proposition for a multipurpose sensor network is presented. The network aims to monitor rotor performance, blade integrity and damage monitoring at three different scales referred to as macro layer, meso layer and micro layer. The final part presents the requirements for WSNs design in relation with sensing, processing, communication and actuation. Finally power supply aspects are discussed.

You might also be interested in these eBooks

Info:

Periodical:

Key Engineering Materials (Volumes 569-570)

Pages:

775-782

Citation:

Online since:

July 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] CAP 753, Helicopter Vibration Health Monitoring (VHM), Guidance Material for Operators Utilising VHM in Rotor and Rotor Drive Systems of Helicopters, TSO on behalf of the UK Civil Aviation Authority, ISBN: 978 0 11792 733 9, August (2012).

Google Scholar

[2] J.L. Brooks, Smiths Industries Flight Data/Cockpit Voice Recorders, International Symposium on Transportation Recorders, Virginia, USA, (1999).

Google Scholar

[3] J. Zakrajsek, P. Dempsey, E. Huff et al., Rotorcraft Health Management Issues and Challenges. NASA. Ames Research Center. First International Forum on Integrated System Health Engineering and Management in Aerospace; USA. (2005).

Google Scholar

[4] H. Morel. H., Viniacourt, F. Hoffman, Assessment of Anomaly detection and diagnosis applied to EuroHUMS data for maintenance alleviation. ERF 2011, Amsterdam. The Netherlands. (2011).

Google Scholar

[5] Information on http: /www51. honeywell. com/aero/common/documents/FasTrak_Brochure. pdf.

Google Scholar

[6] E. Pryputniewicz, G. Flemming, R. Pryputniewicz. Experimental Characterization of Vibrations of a NASA Active Twist Rotor Blade. NASA Langley Research Center. IMAC-XXII. (2004).

Google Scholar

[7] Department of Defense Test Method Standard for Enivormental Engineering Considerations and Laboratory Tests. MIL-STD-810. (2000).

Google Scholar

[8] K. Kim., Analytical Investigation into the Helicopter Vibration Resulting from Main Rotor Blade (MRB) Ballistic Damage. ARL-TR-1985.; 41 pages. (1999).

Google Scholar

[9] J. Fries, Black Hawk Helicopter Vibration Analysis Due to Main Rotor Damage, Directional Constituents of the Resultant Vibrations. ARL-TR-2442 ; 27 pages. (2001).

DOI: 10.21236/ada394672

Google Scholar

[10] K. Kim, Analytical Calculation of Helicopter Main Rotor Blade Flight Loads in Hover and Forward Flight. ARL-TR-3180; 24 pages. (2004).

DOI: 10.21236/ada423149

Google Scholar

[11] C.R. Farrar. D.A. Jauregui, Comparative study of damage identification algorithms applied to a bridge: I. Experiment, Smart Materials and Structures, 7: 704-719, (1998).

DOI: 10.1088/0964-1726/7/5/013

Google Scholar

[12] A. Alvandi, C. Cremona, Assessment of Vibration-based Damage Identification Techniques. Journal of Sound and Vibration, 292(1-2): 179–202, (2006).

DOI: 10.1016/j.jsv.2005.07.036

Google Scholar

[13] J. Humar, A. Bagchi, H, Xu, Performance of Vibration-based Techniques for the Identification of Structural Damage, Structural Health Monitoring, 5(3): 215–241, (2006).

DOI: 10.1177/1475921706067738

Google Scholar

[14] N. Stubbs, C.R. Farrar, Field Verification of a Nondestructive Damage Localization and Severity Estimation Algorithm, In: Proceedings of the 13th International Modal Analysis Conference, (1995).

Google Scholar

[15] R. Loendersloot, T.H. Ooijevaar, L. Warnet, A. de Boer, R. Akkerman, Vibration Based Structural Health Monitoring and the Modal Strain Energy Damage Index Algorithm Applied to a Composite T–Beam, In: Vibration and Structural Acoustics Analysis: Current Research and Related Technologies, Editors: C.M.A. Vasques and J.D. Rodrigues, Springer Netherlands, 2011, p: 121-150.

DOI: 10.1007/978-94-007-1703-9_6

Google Scholar

[16] S. Manzato et al. A review of harmonic removal methods for improved Operational Modal Analysis of Wind Turbines. ISMA 2012-746. Leuven. (2012).

Google Scholar

[17] C. Grappasonni et al,. Dynamic identification of helicopter structures using operational modal analysis methods in the presence of harmonic loading. ISMA 2012-363. Leuven. (2012).

Google Scholar

[18] B. Peeters., El-kafafy. M., Guillaume. P., The new PolyMAX Plus method: Confident Modal parameter estimation even in very noisy cases. ISMA 2012-850. Leuven. (2012).

Google Scholar

[19] M. Balasko, G. Endroczi, L. Horvath. Application of Combined NDT Methods to Study the Helicopter Rotor Blades. MTA KFKI Atomic Energy Research Institute, H-1121 Budapest Konkoly Thege-u 29-33.

Google Scholar

[20] J.P. Lynch, K. Loh. A Summary Review of Wireless Sensors and Sensor Networks for Stuctural Health Monitoring. Shock and Vibration Digest. Vol 38. No. 2., 2006. Pafes91-128.

DOI: 10.1177/0583102406061499

Google Scholar

[21] V. Gungor, G.P. Hanke. Industrial Wireless Sensor Networks: Challenges, Design Principles and Technical Approaches.

Google Scholar

[22] British Standards Institute. Industrial Communication Networks-Fieldbus Specifications, WirelessHART Communication Network and Communication Profile, 1. 0 ed.; IEC/PAS 62591; (2009).

DOI: 10.3403/30199198

Google Scholar

[23] P. Zand, S. Chatterjea, K. Das, P. Havinga, Wireless Industrial Monitoring and Control Networks: The Journey So Far and the Road Ahead. Journal of Sensor and Actuator Networks. 2012; 1(2): 123-152.

DOI: 10.3390/jsan1020123

Google Scholar

[24] K. Das, P. Havinga, Evaluation of DECT-ULE for robust communication in dense wireless sensor networks. 3rd International Conference on the Internet of Things, 24-26 Oct 2012, Wuxi, China. pp.193-190.

DOI: 10.1109/iot.2012.6402321

Google Scholar

[25] P. H de Jong, Power Harvesting Using Piezoelectric Materials. Applications in Helicopter Rotors. PhD thesis. University of Twente. 2013. http: /dx. doi. org/10. 3990/1. 9789036535113.

DOI: 10.3990/1.9789036535113

Google Scholar