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pipenostics - Diagnostics, Reliability and Predictive Maintenance of Pipeline Systems
Functions that represent some useful empirical and data-driven models for heat loss, corrosion diagnostics, and predictive maintenance of pipeline systems. The package is designed for data analysts and engineers who are involved in exploratory or routine calculations. Methods are described in Timashev et al. (2016) <doi:10.1007/978-3-319-25307-7>, A.C.Reddy (2017) <doi:10.1016/j.matpr.2017.07.081>, Minenergo (2008) <https://docs.cntd.ru/document/902148459>, Minenergo (2005) <https://docs.cntd.ru/document/1200035568>, Xing LU. (2014) <doi:10.1080/23744731.2016.1258371>.
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district-heatingheat-lossesinline-inspectionremaining-useful-life
3.08 score 1 stars 240 scripts 33 downloads