Data quality issues can significantly impact the accuracy and reliability of the assessment process. An often-encountered obstacle is the presence of inadequate or missing data, which may lack information regarding the pipeline’s history, maintenance records, or operational conditions. Lacking a comprehensive dataset poses difficulties in making the right decisions regarding the condition of the pipeline and successfully prioritizing repair or replacement activities.

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Data Quality Issues in Model Testing

  • Muhammad Hussain,
  • Tieling Zhang

摘要

Data quality issues can significantly impact the accuracy and reliability of the assessment process. An often-encountered obstacle is the presence of inadequate or missing data, which may lack information regarding the pipeline’s history, maintenance records, or operational conditions. Lacking a comprehensive dataset poses difficulties in making the right decisions regarding the condition of the pipeline and successfully prioritizing repair or replacement activities.