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Novel predictive model for metallic structure corrosion status in presence of stray current in DC mass transit systems

https://doi.org/10.1007/s11771-014-2024-2
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16/16 checkable references clean · checked 2026-08-10

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

2 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 16 checked references that resolve
resolves10.1109/TVT.2004.842462
Stray Current Control in DC Mass Transit Systems
resolves10.1016/j.corsci.2003.09.007
A new time–frequency detection method of stray current field interference on metal structures
resolves10.1108/00035591111167695
Stray current corrosion in buried pipeline
resolves10.1108/00035591011075869
BP neural network predictive model for stray current density of a buried metallic pipeline
resolves10.1016/j.engfailanal.2008.05.011
Rail base corrosion problem for North American transit systems
resolves10.1049/iet-epa:20050449
Influence of soil structures on corrosion performance of floating-DC transit systems
resolves10.1016/j.corsci.2006.05.048
Corrosion behaviour of steel in concrete in the presence of stray current
resolves10.1108/00035590310456261
Potential changes in an electric field and electrolytic corrosion
resolves10.1515/CORRREV.2001.19.1.55
Some Aspects of Potential Measurements in a Stray Current Field
resolves10.1049/ip-epa:20010280
Effects of grounding schemes on railpotential and stray currents in Taipei rail transit systems
resolves10.1109/TVT.2013.2265093
Effects of Vehicle Running Mode on Rail Potential and Stray Current in DC Mass Transit Systems
resolves10.1016/j.eswa.2011.08.170
Leak detection of pipeline: An integrated approach of rough set theory and artificial bee colony trained SVM
resolves10.3390/en4091278
An S-Transform and Support Vector Machine (SVM)-Based Online Method for Diagnosing Broken Strands in Transmission Lines
resolves10.1016/j.eswa.2012.02.197
Efficient aerodynamic design through evolutionary programming and support vector regression algorithms
resolves10.1007/s11771-011-0821-4
Forecasting model of residential load based on general regression neural network and PSO-Bayes least squares support vector machine
resolves10.1007/s11771-011-0945-6
RS-SVM forecasting model and power supply-demand forecast
The 2 references without a DOI — listed, not checked
no DOI — not checkedLI Wei. Stray current corrosion monitoring and protection technology in DC mass transit systems [M]. Xuzhou: China University of Mining and Technology Press, 2004.
no DOI — not checkedCOLLOBERT R, BENGIO S. SVMTorch: Support vector machines for large-scale regression problems [J]. Journal of Machine Learning Research, 2001, 1(2): 143–160.
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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