Abstract: In some examples, signal leakage monitoring based quality control may include measuring, by a signal leakage level detector, for a signal leak at a specified location, a signal leakage level. The signal leak may include a status of being open. A geo-location value and a time value associated with the measurement of the signal leakage level may be assigned to the signal leakage level. A signal leakage closure quality analyzer may transmit the signal leakage level, the geo-location value, and the time value to a signal leakage analyzer. Further, the signal leakage closure quality analyzer may receive, from the signal leakage analyzer and based on an analysis of the signal leakage level, the geo-location value, and the time value by the signal leakage analyzer, an indication that the status of the signal leak is changed from being open to closed, or the status of the signal leak remains open.

Abstract: In some examples, signal leakage monitoring based quality control may include measuring, by a signal leakage level detector, for a signal leak at a specified location, a signal leakage level. The signal leak may include a status of being open. A geo-location value and a time value associated with the measurement of the signal leakage level may be assigned to the signal leakage level. A signal leakage closure quality analyzer may transmit the signal leakage level, the geo-location value, and the time value to a signal leakage analyzer. Further, the signal leakage closure quality analyzer may receive, from the signal leakage analyzer and based on an analysis of the signal leakage level, the geo-location value, and the time value by the signal leakage analyzer, an indication that the status of the signal leak is changed from being open to closed, or the status of the signal leak remains open.

Abstract: An intelligent monitoring and testing system for a cable network determines measurements for a cable plant (CP), including cable modems (CMs) and common network elements, Metrics determined from the measurements are analyzed to detect a service issue and a service sub-issue. Machine learning is applied to the metrics and other related data to determine an optimized workflow for diagnosing, locating, and remediating the service issue and service sub-issue.

Abstract: In some examples, signal leakage monitoring based quality control may include measuring, by a signal leakage level detector, for a signal leak at a specified location, a signal leakage level. The signal leak may include a status of being open. A geo-location value and a time value associated with the measurement of the signal leakage level may be assigned to the signal leakage level. A signal leakage closure quality analyzer may transmit the signal leakage level, the geo-location value, and the time value to a signal leakage analyzer. Further, the signal leakage closure quality analyzer may receive, from the signal leakage analyzer and based on an analysis of the signal leakage level, the geo-location value, and the time value by the signal leakage analyzer, an indication that the status of the signal leak is changed from being open to closed, or the status of the signal leak remains open.