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  2. Pipe bursting - Wikipedia

    en.wikipedia.org/wiki/Pipe_bursting

    A machine is set in the receiving pit to pull the expander head and new pipe into the line. The head is pulled by heavy, interlocking links that form a chain. Each link weighs several hundred pounds. All of the equipment used in a pipe bursting operation is powered by one or multiple hydraulic power generators.

  3. Leak detection - Wikipedia

    en.wikipedia.org/wiki/Leak_detection

    The primary purpose of leak detection systems (LDS) is to help pipeline controllers to detect and localize leaks. LDS provide alarms and display other related data to the pipeline controllers to assist decision-making. Pipeline leak detection systems can also enhance productivity and system reliability thanks to reduced downtime and inspection ...

  4. Trenchless technology - Wikipedia

    en.wikipedia.org/wiki/Trenchless_technology

    Pipe replacement by pipe bursting. Trenchless rehabilitation includes such construction methods as spiral wound lining, sliplining, thermoformed pipe, pipe bursting, shotcrete, gunite, cured-in-place pipe (CIPP), grout-in-place pipe, mechanical spot repair, and other methods for the repair, rehabilitation, or replacement of existing buried pipes and structures without excavation, or at least ...

  5. Robotic non-destructive testing - Wikipedia

    en.wikipedia.org/wiki/Robotic_Non-Destructive...

    Robotic non-destructive testing (NDT) is a method of inspection used to assess the structural integrity of petroleum, natural gas, and water installations. Crawler-based robotic tools are commonly used for in-line inspection (ILI) applications in pipelines that cannot be inspected using traditional intelligent pigging tools (or unpiggable pipelines).

  6. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    On the Evaluation of Unsupervised Outlier Detection: Measures, Datasets, and an Empirical Study Most data files are adapted from UCI Machine Learning Repository data, some are collected from the literature. treated for missing values, numerical attributes only, different percentages of anomalies, labels 1000+ files ARFF: Anomaly detection

  7. Artist claims burst water pipe ruined $25M in paintings - AOL

    www.aol.com/artist-claims-burst-water-pipe...

    A Mexican artist whose Meatpacking District gallery was flooded by a burst water pipe claimed his insurance company is only shelling out a measly $9,000 for paintings worth $25 million, according ...

  8. Enbridge - Wikipedia

    en.wikipedia.org/wiki/Enbridge

    The labs use industrial predictive algorithms, machine learning, and sentiment analysis to find efficiencies within the company and help improve safety and reliability of their pipeline infrastructure. [123] The labs have developed ways to get sensor data from pipelines, helping to improve flows of natural gas and crude oil terminals. [124]

  9. 'It looked like a waterfall:' Flooding closes Seattle hockey ...

    www.aol.com/news/looked-waterfall-flooding...

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