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公开(公告)号：US09584183B2
公开(公告)日：2017-02-28
申请号：US14654323
申请日：2013-12-06
CPC分类号： H04B3/48 , H04M3/305 , H04M11/062
摘要： The present invention presents a method of identifying faults in a DSL line using upstream and downstream attenuation measurements, which can be obtained directly from the DSLAM or CPE, thus requiring no specialist test equipment nor disrupting service. A downstream over upstream attenuation ratio is calculated for a line, with calculations repeated over a population of lines. The distribution of ratios, as well as upper and lower thresholds, is determined based on the population. A line is identified as being potentially faulty if it has an attenuation ratio above the upper threshold or below the lower threshold. Specifically, an attenuation ratio below the lower threshold is identified as having a high resistance joint fault (caused by an imperfect connection or corrosion at a joint in at least one of the pairs of a line), and a ratio above the upper threshold as a shunt (caused by degradation of the insulation between the pairs of a line, and often coupled with water ingress).
摘要翻译： 本发明提出了一种使用上行和下行衰减测量来识别DSL线路中的故障的方法，其可以直接从DSLAM或CPE获得，因此不需要专门的测试设备或中断服务。 对于一条线，计算下游超过上游衰减比，计算重复在一条线上。 比例的分布以及上限和下限是根据人口来确定的。 如果一条线具有高于上阈值或低于下阈值的衰减比，则线被识别为可能有故障。 具体地说，低于下阈值的衰减比被鉴定为具有高阻抗关节故障（由线对中的至少一对中的接头处的不完美连接或腐蚀引起）和高于上阈值的比率作为 分流（由线对之间的绝缘的降解引起，并且经常与水入口耦合）。
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2.发明授权Identifying line faults using regression analysis on near and far end errors 有权通过近端和远端误差的回归分析识别线路故障公开(公告)号：US09525772B2
公开(公告)日：2016-12-20
申请号：US14778433
申请日：2014-03-05
CPC分类号： H04M3/2209 , H04B3/46 , H04M7/0024 , H04M2201/14
摘要： The invention presents a method of identifying faults on a DSL line, typically intermittent faults arising from unstable joints in the DSL line. The method collects errored seconds data at the DSLAM and at the customer's premises equipment (CPE, typically a home hub or router). The error data collected at the DSLAM are termed near-end errors, and the error data collected at the CPE are termed far-end errors. The near-end and far-end data is then analyzed by applying regression analysis to determine if there is a correlation or match between the two sets of data. Matching data patterns are indicative of unstable or bad joints in the DSL line, and are typically intermittent and located near the customer's premises.
摘要翻译： 本发明提出了一种识别DSL线路上的故障的方法，通常是由DSL线路中的不稳定接头引起的间歇性故障。 该方法收集DSLAM和客户驻地设备（CPE，通常是家庭中心或路由器）的错误秒数据。 在DSLAM收集的错误数据称为近端错误，CPE收集的错误数据称为远端错误。 然后通过应用回归分析来确定近端和远端数据，以确定两组数据之间是否存在相关或匹配。 匹配数据模式表示DSL线路中的不稳定或不良关节，并且通常是间歇性的并且位于客户的房屋附近。
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