Status-Monitoring and Fault-Diagnosis Method for an Intelligent Building Wavelength Division Multiplexing Network

被引：0

作者：

Keiser, Gerd ^{[1
]}

Chang, Chu-Lin ^{[1
]}

Lin, Zih-Rong ^{[1
]}

Liu, Cheng-Kuang ^{[1
]}

机构：

[1] Natl Taiwan Univ Sci & Technol, Dept Elect Engn, Taipei 10607, Taiwan

来源：

FIBER AND INTEGRATED OPTICS | 2011年 / 30卷 / 05期

关键词：

intelligent building network; performance monitoring; fault monitoring; fault detection;

D O I：

10.1080/01468030.2011.606874

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

This article proposes and demonstrates a method for simultaneous real-time status monitoring and troubleshooting of a high-capacity bidirectional intelligent building access network that is based on wavelength division multiplexing techniques. The network integrity is verified from a central office. To avoid interference between the bidirectional traffic, downstream and upstream signals are assigned in different spectral bands. The two main parts of the monitoring and fault-diagnosis functions are a traffic-directing and amplification module and a signal-selection switch module. Fault-diagnosis test results are presented for a 35-km path between a central office and the building network over 10-Gb/s upstream and downstream links.

引用

页码：296 / 307

页数：12

共 50 条

[1] MACHINE LEARNING AND KNOWLEDGE BUILDING FOR FAULT-DIAGNOSIS IN DISTRIBUTION NETWORK
TEO, CY
[J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 1995, 17 (02) : 119 - 122
[2] A Novel Method to Design an Optimum Dispersion Map for a Wavelength Division Multiplexing Ring Network
Lee, Jong-Hyung
[J]. CURRENT OPTICS AND PHOTONICS, 2019, 3 (03) : 193 - 198
[3] Fault detection technique for wavelength division multiplexing passive optical network using chaotic fiber laser
Xu, Naijun
Yang, Lingzhen
Zhang, Juan
Zhang, Xiangyuan
Wang, Juanfen
Zhang, Zhaoxia
Liu, Xianglian
[J]. OPTICAL FIBER TECHNOLOGY, 2014, 20 (02) : 163 - 167
[4] Status monitoring and fault diagnosis network system based on UPnP
Li, Pei-yu
Tan, Da-peng
Zhou, Tao-qing
Lin, Bo-yu
[J]. PROGRESSES IN FRACTURE AND STRENGTH OF MATERIALS AND STRUCTURES, 1-4, 2007, 353-358 : 2632 - +
[5] A novel bearing imbalance Fault-diagnosis method based on a Wasserstein conditional generative adversarial network
Peng, Yizhen
Wang, Yu
Shao, Yimin
[J]. MEASUREMENT, 2022, 192
[6] Intelligent condition monitoring and fault diagnosis of a gearbox based on Artificial Neural Network
Yang, Shu Lian
Li Wenhai
Zhen Hua
Xiang Fang
[J]. ICEMI 2007: PROCEEDINGS OF 2007 8TH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS, VOL III, 2007, : 560 - +
[7] Application of neural network method of uncertainty reasoning in fault intelligent diagnosis
Peng, ST
Feng, ZS
Li, S
[J]. ICEMI'2003: PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS, VOLS 1-3, 2003, : 778 - 781
[8] A Novel Method for Intelligent Fault Diagnosis of Bearing Based on Capsule Neural Network
Wang, Zhijian
Zheng, Likang
Du, Wenhua
Cai, Wenan
Zhou, Jie
Wang, Jingtai
Han, Xiaofeng
He, Gaofeng
[J]. COMPLEXITY, 2019, 2019
[9] Status monitoring and fault diagnosis network system based on universal plug and play
Tan, Da-Peng
Li, Pei-Yu
Pan, Xiao-Hong
[J]. Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science), 2009, 43 (03): : 425 - 429
[10] Intelligent bearing fault diagnosis method based on a domain aligned clustering network
Zhou, Huafeng
Cheng, Peiyuan
Shao, Siyu
Zhao, Yuwei
Yang, Xinyu
[J]. MEASUREMENT SCIENCE AND TECHNOLOGY, 2023, 34 (04)

← 1 2 3 4 5 →