{"title":"基于Wilcoxon符号秩检验的高效PON故障定位","authors":"Jianfeng Deng, Xuan Zhang, Xinhong Jia","doi":"10.1016/j.measurement.2025.118314","DOIUrl":null,"url":null,"abstract":"<div><div>We introduce a novel fault localization method for passive optical networks (PONs) based on the Wilcoxon signed rank test. This approach seamlessly integrates with existing PON monitoring techniques that rely on time-domain recognition, enabling the extraction of latent features from time-domain traces used in fault detection. It effectively addresses a key limitation of traditional methods, which are unable to utilize amplitude data for fault localization. Our approach accurately identifies features corresponding to fault point data regions and maps these positions onto acquired time-domain traces through a constructed model, thereby enabling secondary analysis of the trace data. This innovation overcomes the limitations inherent in most existing PON monitoring techniques, which can detect faults but not localize them, achieving fault localization without the need for additional components in the original PON monitoring system. Experimental validation conducted on a PON monitoring system based on time-domain recognition demonstrates the feasibility of the proposed approach. Furthermore, we compare the results obtained from our method with those from OTDR tests, confirming that our approach achieves high localization accuracy with only 64 averages. Since the data utilized for fault localization is derived from the fault detection phase itself rather than from external sources, this method significantly facilitates integrated design and enhances measurement efficiency. This cost-effective solution holds significant promise in the PON market, offering extensive applicability and considerable value in enhancing fault localization capabilities.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"256 ","pages":"Article 118314"},"PeriodicalIF":5.2000,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Cost-efficient PON fault localization utilizing Wilcoxon signed rank test\",\"authors\":\"Jianfeng Deng, Xuan Zhang, Xinhong Jia\",\"doi\":\"10.1016/j.measurement.2025.118314\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>We introduce a novel fault localization method for passive optical networks (PONs) based on the Wilcoxon signed rank test. This approach seamlessly integrates with existing PON monitoring techniques that rely on time-domain recognition, enabling the extraction of latent features from time-domain traces used in fault detection. It effectively addresses a key limitation of traditional methods, which are unable to utilize amplitude data for fault localization. Our approach accurately identifies features corresponding to fault point data regions and maps these positions onto acquired time-domain traces through a constructed model, thereby enabling secondary analysis of the trace data. This innovation overcomes the limitations inherent in most existing PON monitoring techniques, which can detect faults but not localize them, achieving fault localization without the need for additional components in the original PON monitoring system. Experimental validation conducted on a PON monitoring system based on time-domain recognition demonstrates the feasibility of the proposed approach. Furthermore, we compare the results obtained from our method with those from OTDR tests, confirming that our approach achieves high localization accuracy with only 64 averages. Since the data utilized for fault localization is derived from the fault detection phase itself rather than from external sources, this method significantly facilitates integrated design and enhances measurement efficiency. This cost-effective solution holds significant promise in the PON market, offering extensive applicability and considerable value in enhancing fault localization capabilities.</div></div>\",\"PeriodicalId\":18349,\"journal\":{\"name\":\"Measurement\",\"volume\":\"256 \",\"pages\":\"Article 118314\"},\"PeriodicalIF\":5.2000,\"publicationDate\":\"2025-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Measurement\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0263224125016732\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Measurement","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0263224125016732","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
Cost-efficient PON fault localization utilizing Wilcoxon signed rank test
We introduce a novel fault localization method for passive optical networks (PONs) based on the Wilcoxon signed rank test. This approach seamlessly integrates with existing PON monitoring techniques that rely on time-domain recognition, enabling the extraction of latent features from time-domain traces used in fault detection. It effectively addresses a key limitation of traditional methods, which are unable to utilize amplitude data for fault localization. Our approach accurately identifies features corresponding to fault point data regions and maps these positions onto acquired time-domain traces through a constructed model, thereby enabling secondary analysis of the trace data. This innovation overcomes the limitations inherent in most existing PON monitoring techniques, which can detect faults but not localize them, achieving fault localization without the need for additional components in the original PON monitoring system. Experimental validation conducted on a PON monitoring system based on time-domain recognition demonstrates the feasibility of the proposed approach. Furthermore, we compare the results obtained from our method with those from OTDR tests, confirming that our approach achieves high localization accuracy with only 64 averages. Since the data utilized for fault localization is derived from the fault detection phase itself rather than from external sources, this method significantly facilitates integrated design and enhances measurement efficiency. This cost-effective solution holds significant promise in the PON market, offering extensive applicability and considerable value in enhancing fault localization capabilities.
期刊介绍:
Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.