Multivariate Analyses for Finding Significant Track Irregularities to Generate an Optimal Track Maintenance Schedule

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ISSN Print: 2160-8830
ISSN Online: 2160-8849
www.scirp.org/journal/ajor
E-mail: ajor@scirp.org

"Multivariate Analyses for Finding Significant Track Irregularities to Generate an Optimal Track Maintenance Schedule"
written by Mami Matsumoto, Masashi Miwa, Tatsuo Oyama,
published by American Journal of Operations Research, Vol.12 No.6, 2022

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[1]	Development of a Method for Detecting Track Irregularity Anomalies by Cluster Analysis Quarterly Report of RTRI, 2023 DOI:10.2219/rtriqr.64.4_266