Advanced Time–Frequency Mutual Information Measures for Condition-Based Maintenance of Helicopter Drivetrains

Coats, David; Cho, Kwangik; Shin, Yong-June; Goodman, Nicholas; Blechertas, Vytautas; Bayoumi, Abdel

doi:10.1109/tim.2011.2122370

Cited by 15 publications

(7 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…6. Modified bicoherence for test signal in (7) In this case, the total power at f d is a share of three equal source; the independent excitation, the quadratic nonlinear Fig. 7.…”

Section: Concept Of Quadratic-nonlinearity Power-index Spectrummentioning

confidence: 99%

“…7. QNLPI for test signal in (7) interaction between f b and f c , and the quadratic nonlinear interaction between f e and f g .…”

Section: Concept Of Quadratic-nonlinearity Power-index Spectrummentioning

confidence: 99%

“…8. Experimental helicopter tail rotor drive-train (TRDT) assembly with labeled shaft and supporting components Signals denoted as FHB and AHB, measured at forward and aft hanger bearings vibrations respectively, have been previously gathered at two minutes intervals at a sampling rate of 48 kHz over the course of thirty minute baseline test runs [7]. Measurements are taken for each drive-shafts setting under test which include baseline shaft configuration, unbalance in different shafts configuration, and shaft misalignment, all common issues on AH-64 drivetrains.…”

Section: Experimental Set Up and Data Descriptionmentioning

confidence: 99%

See 2 more Smart Citations

Quadratic-nonlinearity power-index spectrum and its application in condition based maintenance (CBM) of helicopter drive trains

Hassan

Coats

Shin

et al. 2012

2012 IEEE International Instrumentation and Measurement Technology Conference Proceedings

Self Cite

View full text Add to dashboard Cite

This paper introduces a quadratic-nonlinearity powers-index spectrum (QN LP I(f )) measure that describes quantitatively how much of the mean square power at certain frequency f is generated by nonlinear quadratic interaction between different frequencies inside signal spectrum. The proposed index QN LP I(f ) is based on the bicoherence spectrum, and the index can be simply seen as summary of the information contained in the bicoherence spectrum in two dimensional graph which makes it easier to interpret. The proposed index is studied first using computer generated data and then applied to real-world vibration data from a helicopter drive train to characterize different mechanical faults. This work advances the development of health indicators based on higher order statistics to assess fault conditions in mechanical systems.

show abstract

“…6. Modified bicoherence for test signal in (7) In this case, the total power at f d is a share of three equal source; the independent excitation, the quadratic nonlinear Fig. 7.…”

Section: Concept Of Quadratic-nonlinearity Power-index Spectrummentioning

confidence: 99%

“…7. QNLPI for test signal in (7) interaction between f b and f c , and the quadratic nonlinear interaction between f e and f g .…”

Section: Concept Of Quadratic-nonlinearity Power-index Spectrummentioning

confidence: 99%

Section: Experimental Set Up and Data Descriptionmentioning

confidence: 99%

See 1 more Smart Citation

Quadratic-nonlinearity power-index spectrum and its application in condition based maintenance (CBM) of helicopter drive trains

Hassan

Coats

Shin

et al. 2012

2012 IEEE International Instrumentation and Measurement Technology Conference Proceedings

Self Cite

View full text Add to dashboard Cite

show abstract

“…Some successful examples of implementing CBM in real systems have demonstrated its efficiency and effectiveness in preventing catastrophic failures and improving maintenance performance (e.g. [1,4,6,11,12,14]). …”

Section: Introductionmentioning

confidence: 99%

Optimal replacement policy for a periodically inspected system subject to the competing soft and sudden failures

Tang

2015

Eksploatacja i Niezawodnosc - Maintenance and Reliability

View full text Add to dashboard Cite

Optimal replacement pOlicy fOr a periOdically inspected system subject tO the cOmpeting sOft and sudden failures Optymalna pOlityka wymiany dO zastOsOwania w systemach pOddawanych przeglądOm OkresOwymnarażOnych na kOnkurujące uszkOdzenia parametryczne i nagłe demonstrated that the optimal replacement policy was a multi-level control-limit policy with monotonically increasing control limits. However, considering only the soft failure seems to be inadequate for the degrading systems that are also subject to the sudden failures. In many practical situations, sudden failures are very likely to interrupt the graceful degradation and then result in more serious consequences. Therefore, in this paper, we consider a competing risk maintenance situation. The system is regarded as failed when the degradation process reaches a critical threshold or when the sudden failure occurs although the degradation process has not reached the threshold. Most of the present papers that deal with such failure scenario assume that the degradation process and the sudden failure are independent with each other. Nevertheless, even if independence is demonstrated to be appropriate for certain types of competing risks, e.g. [2,8,20,21], in many situations the dependent structure between the two failure modes is of importance and should not be neglected. We consider the dependence is described by the failure rate of the sudden failure, which is influenced by both the age and the degradation state of the system. Similar assumptions were also found in Huynh et al. [9], Liu et al. [15], Castro et al. [3] and Huynh et al.[10] to deal with competing risk maintenance situation. A preventive threshold in terms of the degradation state was optimized in Huynh et al. [9] and Liu et al. [15] with different monitoring strategies. The former focused on periodically inspected systems and the latter dealt with continuously monitored ones. Castro et al. [13] also considered a degradation state -based control limit as the alarm of preventive maintenance, but multiple degradation processes were involved in the failure mechanism. In Huynh et al. [10], a novel CBM strategy was proposed using the mean residual life as the control limit. The effectiveness and potential of condition indices that are not strictly limited to failure mechanism in CBM decision-making problems was firstly investigated.In this paper, we will focus on analyzing the optimal replacement policy for a periodically inspected system subject to the competing soft and sudden failures. This policy performs the preventive replacement only at inspection instants, and correctively replaces the system at the time of failure. We describe the degrading system using a gamma degradation process, which implies that the soft failure of the system results from a gradual and irreversible accumulation of deterioration. The failure rate corresponding to the sudden failure is described by a proportional hazards model, which means that it is influenced by both the age of the system and the state degradation of ...

show abstract

“…Typically, condition indicators [10] are used to determine the condition of a specific component. These are represented in a single numerical value.…”

Section: Introductionmentioning

confidence: 99%

Condition-based flight control for helicopters: An extension to condition-based maintenance

Voskuijl

Tooren

Walker

2015

Aerospace Science and Technology

View full text Add to dashboard Cite

Advanced Time–Frequency Mutual Information Measures for Condition-Based Maintenance of Helicopter Drivetrains

Cited by 15 publications

References 20 publications

Quadratic-nonlinearity power-index spectrum and its application in condition based maintenance (CBM) of helicopter drive trains

Quadratic-nonlinearity power-index spectrum and its application in condition based maintenance (CBM) of helicopter drive trains

Optimal replacement policy for a periodically inspected system subject to the competing soft and sudden failures

Condition-based flight control for helicopters: An extension to condition-based maintenance

Contact Info

Product

Resources

About