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pipenostics: Diagnostics, Reliability and Predictive Maintenance of Pipeline Systems

Functions representing some useful empirical and data-driven models of heat loss, corrosion diagnostics, reliability and predictive maintenance of pipeline systems. The package is an option for technical engineering departments of heat generating and heat transfer companies that use or plan to use regulatory calculations in their activities. 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>.

Version: 0.2.0
Depends: R (≥ 3.5.0)
Imports: checkmate, iapws
Suggests: testthat (≥ 3.0.0), covr
Published: 2024-04-04
DOI: 10.32614/CRAN.package.pipenostics
Author: Yuri Possokhov ORCID iD [aut, cre]
Maintainer: Yuri Possokhov <omega1x at gmail.com>
BugReports: https://github.com/omega1x/pipenostics/issues
License: GPL-3
URL: https://omega1x.github.io/pipenostics/
NeedsCompilation: no
Citation: pipenostics citation info
Materials: README NEWS
CRAN checks: pipenostics results

Documentation:

Reference manual: pipenostics.pdf

Downloads:

Package source: pipenostics_0.2.0.tar.gz
Windows binaries: r-devel: pipenostics_0.2.0.zip, r-release: pipenostics_0.2.0.zip, r-oldrel: pipenostics_0.2.0.zip
macOS binaries: r-release (arm64): pipenostics_0.2.0.tgz, r-oldrel (arm64): pipenostics_0.2.0.tgz, r-release (x86_64): pipenostics_0.2.0.tgz, r-oldrel (x86_64): pipenostics_0.2.0.tgz
Old sources: pipenostics archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.