Skip to main content
SpringerLink
Log in

A Novel TOPSIS-Based Test Vector Compaction Technique for Analog Fault Detection

  • Published:
Journal of Electronic Testing Aims and scope Submit manuscript

Abstract

Technique for Order preference by Similarity to Ideal Solution (TOPSIS) is a Multi Attribute Decision Making (MADM) technique employed in diverse disciplines for the prioritization of alternative options/solutions to a problem. Test vector compaction for analog fault detection is a field which is witnessing continuous growth and experimentation. This study suggests a novel TOPSIS-based approach for the compaction of analog test vector to be constituted from test signals achieved by an exhaustive search method. The compacted test vector can help to reduce the test costs while at the same time enabling the test designer to base the compaction methodology on objectively obtained deterministic data.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Abderrahman A, Sawan M, Savaria Y et al (2007) New Analog Test Metrics Based on Probabilistic and Deterministic Combination Approaches. In 14th IEEE International Conference on Electronics, Circuits and Systems (ICECS), Marrakech, 2007: 82–85

  2. Ahmed B, Wang Y, Ahmed N (2011) Application of asymmetrical periodic signals as test vectors for analog fault detection: a novel perspective of classical concepts. Turk J Electr Eng Comput Sci 20:523–536. doi:10.3906/elk-1007-652

    Google Scholar 

  3. Arabi K (2010) Special session 6C: new topic mixed-signal test impact to SoC commercialization. in 28th VLSI Test Symposium (VTS), Santa Cruz, CA, 2010: 212–212

  4. Biltgen PT, Mavris DN (2009) Technique for concept selection using interactive probabilistic multiple attribute decision making. AIAA J Aero Comput Inf Commun 6:51–68

    Google Scholar 

  5. Dagdeviren M, Yavuz S, KilInç N (2009) Weapon selection using the AHP and TOPSIS methods under fuzzy environment. Expert Syst Appl 36:8143–8151

    Article  Google Scholar 

  6. Dong Z, Hu Q, Sun B et al (2010) Model of battlefield damaged equipment repair ordering based on MADM. In 3rd IEEE International Conference on Computer Science and Information Technology (ICCSIT), Chengdu, 2010: 600–603

  7. Gilbert J, Bell I (2007) The effectiveness of test in controlling quality costs: a conformability analysis based approach. J Electron Test 23:293–307

    Article  Google Scholar 

  8. Grzechca D, Golonek T, Rutkowski J (2007) Simulated Annealing with Fuzzy Fitness Function for Test Frequencies Selection in IEEE International Fuzzy Systems Conference (FUZZ-IEEE), London, 2007: 1–6

  9. Iç YT, Yurdakul M (2010) Development of a quick credibility scoring decision support system using fuzzy TOPSIS. Expert Syst Appl 37:567–574

    Article  Google Scholar 

  10. Kaminska B, Arabi K, Bell I et al (1997) Analog and mixed-signal benchmark circuits-first release. In Proceedings of International Test Conference (ITC), 1997: 183–190

  11. Kim M-S, Lee S (2010) A novel load balancing scheme for PMIPv6-based wireless networks. AEU Int J Electron Commun 64:579–583

    Article  Google Scholar 

  12. Lafleur JM, Lantoine G, Hensley AL et al (2008) A systematic concept exploration methodology applied to venus in situ explorer. In 6th International Planetary Probe Workshop, Atlanta, 2008

  13. Mahmoodzadeh S, Shahrabi J, Pariazar M et al (2007) Project selection by using fuzzy AHP and TOPSIS technique. Int J Hum Soc Sci 2:397–401

    Google Scholar 

  14. Mohsen AKA, El-Yazeed MFA (2004) Selection of input stimulus for fault diagnosis of analog circuits using ARMA model. AEU Int J Electron Commun 58:212–217

    Article  Google Scholar 

  15. Savioli CEF, Szendrodi CEC, Calvano JV et al (2004) ATPG for fault diagnosis on analog electrical networks using evolutionary techniques. In 17th Symposium on Integrated Circuits and Systems Design (SBCCI), 2004: 100–104

  16. Seyyed Mahdavi SJ, Mohammadi K (2009) Evolutionary derivation of optimal test sets for neural network based analog and mixed signal circuits fault diagnosis approach. Microelectron Reliab 49:199–208

    Article  Google Scholar 

  17. Torlak G, Sevkli M, Sanal M et al (2011) Analyzing business competition by using fuzzy TOPSIS method: an example of Turkish domestic airline industry. Expert Syst Appl 38:3396–3406

    Article  Google Scholar 

  18. Yoon KP, Hwang C-L (1995) Multiple attribute decision making: an introduction. Sage Publications

  19. Zhang H, Gu C-L, Gu L-W et al (2011) The evaluation of tourism destination competitiveness by TOPSIS & information entropy - a case in the Yangtze River Delta of China. Tourism Manag 32:443–451

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Nanjing University of Aeronautics & Astronautics, Nanjing, China

    Badar-ud-din Ahmed, Wang Youren & Rizwan Ullah

  2. Institute of Space Technology, Islamabad, Pakistan

    Najam-ud-din Ahmed

Authors
  1. Badar-ud-din Ahmed
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Wang Youren
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Rizwan Ullah
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Najam-ud-din Ahmed
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Badar-ud-din Ahmed.

Additional information

Responsible Editor: K. K. Saluja

Rights and permissions

Reprints and permissions

About this article

Cite this article

Ahmed, Bud., Youren, W., Ullah, R. et al. A Novel TOPSIS-Based Test Vector Compaction Technique for Analog Fault Detection. J Electron Test 28, 535–540 (2012). https://doi.org/10.1007/s10836-012-5311-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10836-012-5311-6

Keywords

Search

Navigation