A New Cooperative Anomaly Detection Method for Stacker Running Track of Automated Storage and Retrieval System in Industrial Environment
المؤلفون المشاركون
Darong, Huang
Lin, Mengting
Ke, Lanyan
Deng, Zhenping
المصدر
Journal of Control Science and Engineering
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-11-11
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
هندسة كهربائية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
Considering the complexity and the criticality of the stacker equipment, in order to solve the problem that the stop accuracy of the stacker reduces or even fails to work due to abrasion of the running rail, this paper proposes a cooperative detection method based on Pulse Coupling Neural Network (PCNN) and wavelet transform theory to detect the abnormal points of the stacker running rail in industrial environment by analyzing the variation signals.
First of all, considering the fact that the data is mixed up with noises because of the environment at the site and the possibility of the data acquisition equipment breaking down, a noise reduction method for the vibration signal data of stacker is constructed based on PCNN.
Then, the basic theory of wavelet transform is introduced and then the rules of judging anomaly points on stackers’ running tracks are discussed based on wavelet transform.
In addition, a cooperative detection method based on PCNN and wavelet transform theory is carried out based on the space-time distribution feature of the vibration of the stacker orbits in the industrial environment.
Then the rationality of the proposed algorithm is verified by simulation through data provided by State Grid Measuring Center of China.
This paper constructs a model of the abnormal point detection of the stackers in an industrial environment.
The experimental simulation and example simulation show that the cooperative detection method based on PCNN and wavelet transform theory can effectively detect and locate the anomaly points of the stacker running tracks.
The expansibility in engineering applications is promising.
Lastly, some conclusions are discussed.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Darong, Huang& Lin, Mengting& Ke, Lanyan& Deng, Zhenping. 2018. A New Cooperative Anomaly Detection Method for Stacker Running Track of Automated Storage and Retrieval System in Industrial Environment. Journal of Control Science and Engineering،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1182896
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Darong, Huang…[et al.]. A New Cooperative Anomaly Detection Method for Stacker Running Track of Automated Storage and Retrieval System in Industrial Environment. Journal of Control Science and Engineering No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1182896
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Darong, Huang& Lin, Mengting& Ke, Lanyan& Deng, Zhenping. A New Cooperative Anomaly Detection Method for Stacker Running Track of Automated Storage and Retrieval System in Industrial Environment. Journal of Control Science and Engineering. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1182896
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1182896
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر