TY - GEN
T1 - Research on false alarm identification method considering BIT test threshold
AU - Zhao, Yawei
AU - Shi, Junyou
AU - Li, Wenzhe
AU - Cui, Weiwei
N1 - Publisher Copyright:
© 2017 Taylor & Francis Group, London.
PY - 2017
Y1 - 2017
N2 - Since 1970s, Built-In Test (BIT) technology was introduced to the field of avionic system. However, high False Alarm Rate (FAR) is the main element to restrain the popularization of BIT. In this paper, the method of false alarm identification considering BIT test threshold is proposed. System’s operational state is divided into three states: normal, false alarm and fault. In order to find the characteristics of each state division, Hidden Markov Model (HMM) and Self-Organizing Map (SOM) algorithm is used for training and processing. Then, the thresholds are obtained as the limitation of normal, false alarm and fault according to SOM clustering result. Finally, the result of diagnosis on BIT of current equipment is based on the test threshold largely. Finally, based on the test threshold, the result of diagnosis on BIT of current equipment is given. Different thresholds have big influence on recognition of false alarm. The effectiveness of false alarm recognition of proposed method is validated by an application of an equipment.
AB - Since 1970s, Built-In Test (BIT) technology was introduced to the field of avionic system. However, high False Alarm Rate (FAR) is the main element to restrain the popularization of BIT. In this paper, the method of false alarm identification considering BIT test threshold is proposed. System’s operational state is divided into three states: normal, false alarm and fault. In order to find the characteristics of each state division, Hidden Markov Model (HMM) and Self-Organizing Map (SOM) algorithm is used for training and processing. Then, the thresholds are obtained as the limitation of normal, false alarm and fault according to SOM clustering result. Finally, the result of diagnosis on BIT of current equipment is based on the test threshold largely. Finally, based on the test threshold, the result of diagnosis on BIT of current equipment is given. Different thresholds have big influence on recognition of false alarm. The effectiveness of false alarm recognition of proposed method is validated by an application of an equipment.
UR - https://www.scopus.com/pages/publications/85061364989
U2 - 10.1201/9781315210469-105
DO - 10.1201/9781315210469-105
M3 - 会议稿件
AN - SCOPUS:85061364989
SN - 9781138629370
T3 - Safety and Reliability - Theory and Applications - Proceedings of the 27th European Safety and Reliability Conference, ESREL 2017
SP - 805
EP - 811
BT - Safety and Reliability – Theory and Applications - Proceedings of the 27th European Safety and Reliability Conference, ESREL 2017
A2 - Cepin, Marko
A2 - Briš, Radim
PB - CRC Press/Balkema
T2 - 27th European Safety and Reliability Conference, ESREL 2017
Y2 - 18 June 2017 through 22 June 2017
ER -