J4 ›› 2009, Vol. 6 ›› Issue (3): 306-310.doi: 10.1016/S1672-6529(08)60127-4

• 论文 • 上一篇    

Study of OCDs Reliability Estimation System Based on Bio-Immunology

Dan-e Wu1, Qiu-zhan Zhou1, Ping-ping Liu2, He-bin Zhang1   

  1. 1. College of Communication Engineering, Jilin University, Changchun 130022, P. R. China
    2. Department of Computer Science and Technology, Jilin University, Changchun 130012, P. R. China
  • 出版日期:2009-09-30
  • 通讯作者: Qiu-zhan Zhou E-mail: tongxin@jlu.edu.cn E-mail:tongxin@jlu.edu.cn

Study of OCDs Reliability Estimation System Based on Bio-Immunology

Dan-e Wu1, Qiu-zhan Zhou1, Ping-ping Liu2, He-bin Zhang1   

  1. 1. College of Communication Engineering, Jilin University, Changchun 130022, P. R. China
    2. Department of Computer Science and Technology, Jilin University, Changchun 130012, P. R. China
  • Online:2009-09-30
  • Contact: Qiu-zhan Zhou E-mail: tongxin@jlu.edu.cn E-mail:tongxin@jlu.edu.cn

摘要:

We introduce the relationship between excess noise in Optoelectronic Coupled Devices (OCDs) and their interior defects and explain how low-frequency noise can be used to estimate their reliability. Using concepts from the biological immune system and its process of identifying invaders, we present a system for estimation of the reliability of OCDs. The system has expressions for the antigen (excess noise), lymphocyte (criterion) and the role of the lymphocyte eliminating unreliable devices. A genetic algorithm was used to estimate the components parameters of the noise spectrum for estimating the reliability of OCDs. The experimental results demonstrated that this method is reliable, adaptable and practical.

关键词: low-frequency noise, artificial immunity, genetic algorithm, device reliability

Abstract:

We introduce the relationship between excess noise in Optoelectronic Coupled Devices (OCDs) and their interior defects and explain how low-frequency noise can be used to estimate their reliability. Using concepts from the biological immune system and its process of identifying invaders, we present a system for estimation of the reliability of OCDs. The system has expressions for the antigen (excess noise), lymphocyte (criterion) and the role of the lymphocyte eliminating unreliable devices. A genetic algorithm was used to estimate the components parameters of the noise spectrum for estimating the reliability of OCDs. The experimental results demonstrated that this method is reliable, adaptable and practical.

Key words: low-frequency noise, artificial immunity, genetic algorithm, device reliability