Helicopter rotor health monitoring- a review

-Health and usage monitoring as a technique for online test, diagnosis or prognosis of structures and systems has evolved as a key technology for future critical systems. The technology, often refereed to as HUMS is usually based around sensors that must be more reliable than the system or structure they are monitoring. This paper proposes a fault tolerant sensor architecture and demonstrates the feasibility of realising this architecture through the design of a dual mode humidity/pressure MEMS sensor with an integrated temperature function. The sensor has a simple structure, good linearity and sensitivity, and the potential for implementation of built-inself-test features. We also propose a re-configurable sensor network based on the multi-functional sensor concept that supports both Normal Operational and Fail Safe Modes. The architecture has the potential to significantly increase system reliability and supports a reduction in the number of sensors required in future HUMS devices. The technique has potential in a wide range of applications, especially within wireless sensor networks.

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“…HUMS used in helicopters are reviewed in [2]. These systems typically monitor vibration and measure the impact on rotor components.…”

Section: Introductionmentioning

confidence: 99%

Design and simulation of a multi-function MEMS sensor for health and usage monitoring

Zhou

Koltsov²,

Richardson

et al. 2010

2010 Prognostics and System Health Management Conference

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“…The change of the typical sound of a machine is often an indication of an incipient problem with it. In [19] Samuel and Pines, and in [20] Pawar and Ganguli present reviews on fault and state detection techniques for helicopters.…”

Section: Sense Of Soundmentioning

confidence: 99%

Mitigating the effect of background noise in sound based helicopter control

Passow

Coupland

Góngora

2010

International Conference on Fuzzy Systems

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Abstract-Our research focuses on the use of sound to enhance the control of an autonomous indoor helicopterFlyper. One of the many challenging problems in this project is managing the uncertainty which is present in input data and the control actions; this paper focuses on managing the uncertainty in the input data. We present a fuzzy logic system which infers how much confidence should be placed on a control decision based on the data which was used to make that decision. The input data is a supervised and sound based position estimate of the flying robot. The output of the fuzzy inference system provides us with a confidence parameter used to attenuate the position control of the autonomous helicopter. We performed test flights with and without the fuzzy confidence parameter and with and without artificial disturbance in form of concurrent speech. We employed a motion tracker to capture the helicopter's movement during all test flights. The analysis of the data collected shows encouraging results.

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“…The change of the typical sound of a machine is often an indication of an incipient problem with it. In [15] Samuel and Pines, and in [16] Pawar and Ganguli present reviews on fault and state detection techniques for helicopters.…”

Section: B Sound Analysismentioning

confidence: 99%

Managing uncertainty in sound based control for an autonomous helicopter

Passow

Góngora

Smith

et al. 2009

2009 IEEE Workshop on Computational Intelligence in Vehicles and Vehicular Systems

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Abstract-In this paper we present our ongoing research using a multi-purpose, small and low cost autonomous helicopter platform (Flyper). We are building on previously achieved stable control using evolutionary tuning. We propose a sound based supervised method to localise the indoor helicopter and extract meaningful information to enable the helicopter to further stabilise its flight and correct its flightpath. Due to the high amount of uncertainty in the data, we propose the use of fuzzy logic in the signal processing of the sound signature. We discuss the benefits and difficulties using type-1 and type-2 fuzzy logic in this real-time systems and give an overview of our proposed system.

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Helicopter rotor health monitoring- a review

Cited by 39 publications

References 79 publications

Design and simulation of a multi-function MEMS sensor for health and usage monitoring

Design and simulation of a multi-function MEMS sensor for health and usage monitoring

Mitigating the effect of background noise in sound based helicopter control

Managing uncertainty in sound based control for an autonomous helicopter

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