Mechanism of intermittent failures in extreme vibration environment and online diagnosis technology

Abstract

The intermittent faults induced by environment stress such as extreme vibration have deep impact on the serviceability and reliability of equipment. In this paper, the term of the extreme vibration environment is defined. The finite element simulation model of the component is established, and the mechanism and laws that how the extreme vibration environmental stress induces intermittent faults are analyzed. Based on the elastic-plastic stress theory, a method of calculating component’s cumulative damage in extreme vibration environment is proposed. Then a hidden Markov model (HMM) based Tri-State (normal state, intermittent state and fault state) injury correlation model is built. Starting with the relationship analysing between the features in each state of components and the interior cumulative damage, the cumulative damage based HMM model for intermittent fault diagnosis is established. After that, a real-time fault diagnosis method is proposed. Tests are carried out on a helicopter attitude indicator in extreme vibration environment. The test results show that the occurrence probability of intermittent fault becomes large with the increase of the vibration magnitude and time. The proposed fault diagnosis method can detect the intermittent fault efficiently.

Keywords

Extreme vibration environment intermittent fault cumulative damage hidden Markov model

Get full access to this article

View all access options for this article.

References

Russell G and Elliott ID. Design of highly reliable RSIC processors incorporating concurrent error detection/ correction. In: IEE colloquium on RISC Architectures and Applications, London, 4 November 1991, pp.1–4.

Sharma R and Saluja KK. An implementational and analysis of a concurrent Built-in Self-Test technique. In: Eighteenth international symposium on fault-tolerant computing, 1988 FTCS-18, Digest of Papers, Tokyo, Japan, 27–30 June 1988, pp.164–169.

Steadman B, Berghout F, Olsen N, et al. Intermittent fault detection and isolation system. In: IEEE autotestcon, Salt Lake City, UT, 8–11 September 2008, pp.37–40.

Rabiner L. A tutorial on hidden Markov models and selected applications in speech recognition. In: Proc IEEE 1989; 77: 257–286.

Deng GQ. Research on key technology of intermittent faults diagnosis in extreme temperature environment. PhD Thesis, National University of Defense Technology, China, 2013.

Swart PW. Rtok elimination with TSMM. In: Proceedings of the IEEE 1991 NAECON, Dayton, OH, 20–24 May 1991, pp.214–220.

Balint TS, Cutts JA, Kolawa EA, et al. Extreme environment technolog for space and terrestrial applications. In: SPIE defense and security symposium, 2008, pp.696006–696012.

Qian

Cui

. An approach for predicting fatigue crack growth based on the cumulative damage theory and elasto-plastic stress field of crack tip. J Ship Mech 2012; 8: 954–961.

Chen

. Research on a criterion and numerical simulation for crack propagation based on the radial strain energy at plastic core region. J Hebei Polytech Univ (Natural Science Edition) 2011; 3: 100–109.

10.

Castro

JTPD

Meggiolaro

Miranda

ACDO

. Singular and non-singular approache for predicting fatigue crack growth behavior. Int J Fatigue 2005; 27: 1366–1388.

11.

Creager

Paris

. Elastic field equations for blunt cracks with reference to stress corrosion cracking. Int J Fatigue 1967; 3: 247–251.

12.

Landgraf

Morrow

Endo

. Determination of the cyclic stress-strain curve. J Mater 1969; 4: 176–188.

13.

Noroozi

Glinka

Lambert

. A two parameter driving force for fatigue crack growth analysis. Int J Fatigue 2005; 27: 1277–1296.

14.

Lv KH. Research on BIT false alarm reducing and fault prediction technologies based on time stress analysis. PhD Thesis, National University of Defense Technology, China, 2008.

15.

Yan

. Basis of Failure Physics, Beijing: Science Press, 1982.

16.

. Advances in stochastic theory of fatigue damage accumulation. Adv Mech 1999; 29: 43–65.

17.

Zhao

. Fatigue design methods and design data for finite life under variable amplitude loading. J Mach Des 2000; 1: 5–8.

18.

Liu XM. Research on diagnosing intermittent faults to reduce false alarms of mechatronics BIT. PhD Thesis, National University of Defense Technology, China, 2005.

19.

Fen

. HMM dynamic pattern recognition theory and approach and application on fault diagnosis of rotating machinery, Hangzhou: Zhejiang University Press, 2002.

20.

Tong

Yan

. The application of HMM to fault diagnosis of large rotating machinery. Mechanical Science and Technology 1999; 18: 973–975.

21.

Mao

. A DHMM training method based on maximum mutual information. J Shanghai Jiaotong Univ 2001; 35: 1713–1716.