DOI QR코드

DOI QR Code

A Fault Detection Scheme in Acoustic Sensor Systems Using Multiple Acoustic Sensors

다중 센서를 이용한 음향 센서 시스템의 고장 진단

  • Oh, Won-Geun (Dept. of Multimedia Engineering, Sunchon National University)
  • 오원근 (순천대학교 멀티미디어공학과)
  • Received : 2016.01.26
  • Accepted : 2016.02.24
  • Published : 2016.02.25

Abstract

This paper presents a fault detection and data processing algorithm for acoustic sensor systems using the multiple sensor algorithm that has originally developed for the wireless sensor nodes. The multiple sensor algorithm can increase the reliability of the sensor systems by utilizing and comparing the measurements of the multiple sensors. In the acoustic sensor system, the equivalent sound level($L_{eq}$) is used to detect the faulty sensor. The experiment was conducted to demonstrate the feasibility of the multiple acoustic sensor algorithm, and the results show that the algorithm can detect the faulty sensor and validate the data.

본 논문에서는 음향 센서 시스템에서 다중 센서를 이용한 실시간 고장 진단 및 데이터 처리 알고리즘을 제안하고 실험을 통해 그 타당성을 입증하였다. 다중 센서 알고리즘은 하나의 물리량 계측을 위해 여러 개의 센서를 동시에 사용하는 방식을 사용하며 효율적으로 센서의 고장을 감지하여 신뢰성 있는 데이터를 출력할 수 있는 방법이다. 이를 음향 센서 시스템에 적용하기 위해 등가 소음레벨 $L_{eq}$를 이용한 실시간 고장 진단 및 오류 데이터 처리 알고리즘을 제안하고, 이를 검증하기 위한 실험 장치와 프로그램을 제작하고 실험하였다. 그 결과 다중 센서 알고리즘은 음향 센서 시스템에도 잘 적용되어 일부 센서의 고장 시에도 정확한 데이터 처리가 가능함을 보였다.

Keywords

References

  1. E. Youk, S. Yun, and S. Kim, "Development of fault detection algorithm applicable to sensor network system," J. of Korean Institute of Intelligent Systems, vol. 17, no. 6, 2007, pp. 760-765. https://doi.org/10.5391/JKIIS.2007.17.6.760
  2. J. Hur, Y. Lee, and H. Yoon, "Trust-Based Filtering of False Data in Wireless Sensor Networks," J. of Korean Institute of Information Scientists and Engineers, vol. 35, no. 1, 2008, pp. 76-90.
  3. W. Oh and S. Lee, "An Effective Algorithm for Diagnosing Sensor Node Faults," J. of the Korea Institute of Electronic Communication Sciences, vol. 10, no. 2, 2015, pp. 283-288. https://doi.org/10.13067/JKIECS.2015.10.2.283
  4. W. Oh, "A simple sensor fault detection algorithm," In Proc. of Int. Conf. on Computer Science, Data Mining&Mechanical Engineering, Bangkok, Thailand, Apr., 2015, pp. 132-134.
  5. T. Hong and S. Park, "A Case Study of the Breakdown Evaluation to the Rotary Machine," J. of the Korea Institute of Electronic Communication Sciences, vol. 10, no. 2, 2015, pp. 189-194. https://doi.org/10.13067/JKIECS.2015.10.2.189
  6. T. Hong and S. Park, "A Case Study of the Breakdown Evaluation to the Machine at the Steel Company," J. of the Korea Institute of Electronic Communication Sciences, vol. 10, no. 2, 2015, pp. 195-202. https://doi.org/10.13067/JKIECS.2015.10.2.195
  7. K. Lee, "A Fuzzy Model Based Sensor Fault Detection Scheme for Nonlinear Dynamic Systems," Trans. Korean Institute of Electrical Engineers, vol. 56, no. 2, 2007, pp. 407-414.
  8. I. Lee, "ART2 Neural Networks Based Gas Classification and Sensor Fault Diagnosis in the Gas Monitoring System," In Proc. Korean Institute of Information Technology Summer Conf., Mokpo, Korea, Jun. 2009, pp. 358-363
  9. W. Oh, S. Lim, and H. Kim, "A fault detection method for acoustic sensor systems," In Proc. Conf. 2015 Spring Acoustical Society of Korea, Busan, Korea, May, 2015, pp.109-109
  10. IEC Standard, IEC 61672-1: 2013 Electroacoustics-Sound Level Meters-Part 1. Int. Electrotechnical Commission, 2002.