System And Method For Grading Electricity Distribution Network Feeders Susceptible To Impending Failure

A method for facilitating maintenance of feeders in an electricity distribution network, the method comprising:

• providing a failure prediction model;
• training the failure prediction model on values of a plurality of feeder attributes related to past performance history;
• applying the trained failure prediction model to values of the plurality of feeder attributes so as to generate rankings of the feeders indicative of their relative susceptibilities to failure;
• and
• providing the rankings of the feeders to operators and engineers so as to facilitate maintenance of the feeders.

A computer-readable medium for facilitating maintenance of feeders in an electricity distribution network, the computer-readable medium comprising a set of instructions for:

• training a failure prediction model on values of a plurality of feeder attributes related to past performance history;
• applying the trained failure prediction model to values of the plurality of feeder attributes so as to generate rankings of the feeders indicative of their relative susceptibilities to failure;
• and
• providing the rankings of the feeders to operators and engineers so as to facilitate maintenance of the feeders.

A method for assessing likelihood of failure in an “items” distribution network, the distribution network having a plurality of networked or interlinked components involved in transmission of the items to end-users or recipients, the method comprising:

• providing a failure-prediction model configured to determine the relative susceptibility-to-failures of individual network components based on an input data set of network component attribute values;
• training the model on a training data set of network component attribute values;
• and
• applying the trained model to the input data set so as to generate a list of the network components ranked by their relative susceptibility-to-failures.