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Volumn 47, Issue 1, 2007, Pages 142-149

Using neural networks as a fault detection mechanism in MEMS devices

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC TESTING; COMPUTER SIMULATION; ELECTRIC FAULT LOCATION; INTEGRATED CIRCUITS; NEURAL NETWORKS;

EID: 33845391340     PISSN: 00262714     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.microrel.2006.04.012     Document Type: Article
Times cited : (14)

References (25)
  • 1
    • 33845414458 scopus 로고    scopus 로고
    • Muller R, Wagner U, Bernhard W. Reliability of MEMS-a methodical approach, In: Proc 11th European symposium on reliability of electron devices, failure physics and analysis, 2001. p. 1657-62.
  • 2
    • 0034479482 scopus 로고    scopus 로고
    • Deb N, Blanton RD. Analysis of failure sources in surface-micromachined MEMS, In: Intl test Conf, 2000. p.739-49.
  • 3
    • 3142671970 scopus 로고    scopus 로고
    • Wolf ID. Instrumentation and methodology for MEMS testing reliability assessment and failure analysis, In: Proc 24th Intl Conf Microelectr (MIEL 2004), vol.1, 2004. p. 57-63.
  • 4
    • 0141526091 scopus 로고    scopus 로고
    • Building an analogue fault simulation and its application to MEMS
    • Roman C., Mir S., and Charlot B. Building an analogue fault simulation and its application to MEMS. Microelectr J (2003) 897-906
    • (2003) Microelectr J , pp. 897-906
    • Roman, C.1    Mir, S.2    Charlot, B.3
  • 5
    • 33845391132 scopus 로고    scopus 로고
    • Rosing R, Richardston A, Dorey A, Peyton A. Test support strategies for MEMS, In: IEEE Int Mixed signal test workshop, Whistler, Canada, June 1999.
  • 6
    • 0000529503 scopus 로고
    • Use of fuzzy cause-effect digraphs for resolution fault diagnosis for process plants I fuzzy cause-effect digraph
    • Shih R., and Lee L. Use of fuzzy cause-effect digraphs for resolution fault diagnosis for process plants I fuzzy cause-effect digraph. Ind Eng Chem Res 34 (1995) 1688-1702
    • (1995) Ind Eng Chem Res , vol.34 , pp. 1688-1702
    • Shih, R.1    Lee, L.2
  • 8
    • 0033908161 scopus 로고    scopus 로고
    • Applying A robust heteroscedastic probabilistic neural network to analog fault detection and classification
    • Yang Z.R., and Zwolinski M. Applying A robust heteroscedastic probabilistic neural network to analog fault detection and classification. IEEE Trans Comput Aided Des Integr Circ Sys 19 1 (2000) 142-151
    • (2000) IEEE Trans Comput Aided Des Integr Circ Sys , vol.19 , Issue.1 , pp. 142-151
    • Yang, Z.R.1    Zwolinski, M.2
  • 9
    • 33845445566 scopus 로고    scopus 로고
    • Yang ZR. UK construction company failure prediction: a robust heteroscedastic parzen window classifier, PhD University of Portsmouth, Portsmouth, UK, 1998.
  • 10
    • 33845408847 scopus 로고    scopus 로고
    • Asgary R, Mohammadi K. Pattern recognition and fault detection in MEMS, In: 4th Intl Conf Computer Recognition System, CORES'05, Poland, May 2005. p. 877-84.
  • 11
    • 0036858392 scopus 로고    scopus 로고
    • Fully automatic clustering system
    • November
    • Patane G., and Russa M. Fully automatic clustering system. IEEE Trans Neural Networks 13 6 (2002) 1285-1298 November
    • (2002) IEEE Trans Neural Networks , vol.13 , Issue.6 , pp. 1285-1298
    • Patane, G.1    Russa, M.2
  • 12
    • 0038649365 scopus 로고    scopus 로고
    • Na L, Wensheng G, Kexiong T, Xiaoning W, Application of a combinational neural network model based on cluster analysis in transformer fault diagnosis, In: Proc of IEEE Conf on Computer, Communications, Control and Power Engineering, TENCON'02, 2002. p. 1873-6.
  • 13
    • 0024123401 scopus 로고
    • Probabilistic neural networks for classification, mapping or associative memory
    • Specht D. Probabilistic neural networks for classification, mapping or associative memory. Proc Int Conf Neural Network 1 (1988) 525-530
    • (1988) Proc Int Conf Neural Network , vol.1 , pp. 525-530
    • Specht, D.1
  • 14
    • 0029457584 scopus 로고    scopus 로고
    • Kitajima N, A new method for initializing refrence vectors in LVQ, In: Proc IEEE Int Conf Neural Networks, vol. 5, 1995. p. 2775-9.
  • 15
    • 33845414938 scopus 로고    scopus 로고
    • Sato A. An analysis of initial state dependence in generalized LVQ, In: Proc Int Conf Artificial Neural.
  • 18
    • 15344339535 scopus 로고    scopus 로고
    • Soft learning quantization and clustering algorithms based on non-euclidean norms: single-norm algorithm
    • Karayiannis N.B., and Randolph-Gips M. Soft learning quantization and clustering algorithms based on non-euclidean norms: single-norm algorithm. IEEE Trans Neural Network 16 2 (2005) 423-435
    • (2005) IEEE Trans Neural Network , vol.16 , Issue.2 , pp. 423-435
    • Karayiannis, N.B.1    Randolph-Gips, M.2
  • 22
    • 33845411525 scopus 로고    scopus 로고
    • Asgary R, Mohammadi K. MEMS fault detection using probabilistic neural network, In: Conf on Intelligent Systems, Kerman, Iran, 2004.
  • 23
    • 0025464148 scopus 로고
    • Application of the three-dimensional finite-difference time-domain method to the analysis of planar microstrip circuits
    • Sheen D.M., Ali S.M., Abouzahra M.D., and Kong J.A. Application of the three-dimensional finite-difference time-domain method to the analysis of planar microstrip circuits. IEEE Trans Microwave Theory Techniques 38 7 (1990) 849-857
    • (1990) IEEE Trans Microwave Theory Techniques , vol.38 , Issue.7 , pp. 849-857
    • Sheen, D.M.1    Ali, S.M.2    Abouzahra, M.D.3    Kong, J.A.4
  • 24
    • 33845400123 scopus 로고    scopus 로고
    • TIMA Lab research reports, Available from: .
  • 25
    • 67649126481 scopus 로고    scopus 로고
    • Litovski V, Andrejevic M, Zwolinski M. Behavioural modelling, simulation, test and diagnosis of MEMS using ANNs, In: Proc Intl Symp Circuits and Systems, Kobe, Japan, 2005.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.