pipenostics: Diagnostics, Reliability and Predictive Maintenance of Pipeline Systems

Functions representing some useful empirical and data-driven models of heat losses, corrosion diagnostics, reliability and predictive maintenance of pipeline systems. The package is an option for digital transformation of technical engineering departments of heat generating and heat transferring companies. 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) <http://www.complexdoc.ru/ntdtext/547103>.

Version: 0.1.7
Depends: R (≥ 3.5.0)
Imports: checkmate
Suggests: testthat (≥ 3.0.0), covr
Published: 2021-03-02
Author: Yuri Possokhov ORCID iD [aut, cre]
Maintainer: Yuri Possokhov <possokhoff at gmail.com>
BugReports: https://github.com/omega1x/pipenostics/issues
License: GPL-3
URL: https://omega1x.github.io/pipenostics/
NeedsCompilation: no
Materials: README
CRAN checks: pipenostics results

Documentation:

Reference manual: pipenostics.pdf

Downloads:

Package source: pipenostics_0.1.7.tar.gz
Windows binaries: r-devel: pipenostics_0.1.7.zip, r-release: pipenostics_0.1.7.zip, r-oldrel: pipenostics_0.1.7.zip
macOS binaries: r-release (arm64): pipenostics_0.1.7.tgz, r-oldrel (arm64): pipenostics_0.1.7.tgz, r-release (x86_64): pipenostics_0.1.7.tgz, r-oldrel (x86_64): pipenostics_0.1.7.tgz

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