Assessing the benefit of helicopter health and usage monitoring systems

Larder, B.

doi:10.1049/ic:20030006

Cited by 8 publications

(6 citation statements)

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“…Condition based maintenance (CBM) [6,7] has started using the operating regime to modify this replacement schedule and the inspection intervals. Heavy use will result in more frequent inspections and vice versa.…”

Section: Definitionmentioning

confidence: 99%

A Survey of Health Management User Objectives Related to Diagnostic and Prognostic Metrics

Wheeler

Kurtoglu

Poll

2009

Volume 2: 29th Computers and Information in Engineering Conference, Parts a and B

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One of the most prominent technical challenges to effective deployment of health management systems is the vast difference in user objectives with respect to engineering development. In this paper, a detailed survey on the objectives of different users of health management systems is presented. These user objectives are then mapped to the metrics typically encountered in the development and testing of two main systems health management functions: diagnosis and prognosis. Using this mapping, the gaps between user goals and the metrics associated with diagnostics and prognostics are identified and presented with a collection of lessons learned from previous studies that include both industrial and military aerospace applications.*

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Section: Definitionmentioning

confidence: 99%

A Survey of Health Management User Objectives Related to Diagnostic and Prognostic Metrics

Wheeler

Kurtoglu

Poll

2009

Volume 2: 29th Computers and Information in Engineering Conference, Parts a and B

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“…he integration of Health and Usage Monitoring Systems (HUMS) in engineering structures, equipment and devices is of great interest to deliver the required monitoring functions needed for high reliability, availability and safety. Existing applications include safety critical systems including surface terrain vehicles, aviation vehicles, submarines, ships and complex structures [1,2].…”

Section: Introductionmentioning

confidence: 99%

“…This research presented in this paper aims to realize a low 1 cost prognostics solution for a MEMS based MFS able to measure pressure and humidity concurrently. The design is based on the architecture described in [11].…”

Section: Introductionmentioning

confidence: 99%

Use of Self-Calibration Data for Multifunctional MEMS Sensor Prognostics

Khan

Tahir²,

Richardson

2016

J. Microelectromech. Syst.

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This paper proposes a solution to monitor the degradation of a multifunctional MEMS sensor (MFS) and to recalibrate the sensor output accordingly. The solution is able to predict the remaining useful life based on the recalibration history. The MFS used is a dual pressure-humidity hybrid sensor where model data has been used to demonstrate the applicability and the performance of the proposed method for diagnosis, self-correction and prognosis.

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“…The node integrated an accelerometer and an AM transmitter. It could measure and transit data every 3 s. One potentially important application of wireless sensors is Structure Health Monitoring (SHM) in aircraft [10][11][12][13][14][15]. In recent years, many self-powered systems for structural health monitoring have also been reported [16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

A credit card sized self powered smart sensor node

Zhu

Beeby

Tudor

et al. 2011

Sensors and Actuators A: Physical

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a b s t r a c tThis paper reports a self powered smart sensor node (also called 'smart tag') consisting of a piezoelectric vibration energy harvester, a power conditioning circuit, sensors and an RF transmitter. The smart tag has dimensions similar to a credit card and can be easily integrated into various applications such as the surface of the aircraft. The smart tag is powered by an integrated bimorph piezoelectric generator that extracts energy from ambient vibrations. The generator is fabricated using thick film printing technology. Experimentally, the generator produced a maximum RMS output power of 240 W when excited at vibration with a frequency of 67 Hz and peak amplitude of 0.4 g (3.9 m s −2 ). This generated power is sufficient to enable periodic sensing and transmission. Details of the experimental results of the piezoelectric generator and the power conditioning circuit are presented. Test shows that the waiting time of the system between two consecutive transmissions is around 800 s.

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Assessing the benefit of helicopter health and usage monitoring systems

Cited by 8 publications

References 0 publications

A Survey of Health Management User Objectives Related to Diagnostic and Prognostic Metrics

A Survey of Health Management User Objectives Related to Diagnostic and Prognostic Metrics

Use of Self-Calibration Data for Multifunctional MEMS Sensor Prognostics

A credit card sized self powered smart sensor node

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