Forthcoming and Online First Articles

International Journal of Strategic Engineering Asset Management

International Journal of Strategic Engineering Asset Management (IJSEAM)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of Strategic Engineering Asset Management (1 paper in press)

Regular Issues

  • Strategic asset management health index for predicting power transformer health conditions   Order a copy of this article
    by Khamis Salim Al-Romaimi, David Baglee, Derek Dixon 
    Abstract: Asset management assists in operating electrical utilities at high performance and low cost. The Power Transformer Health Index (PTHI) is considered a good health condition evaluation and decision-making tool. PTHI is used to prioritise maintenance decisions, drive maintenance strategy, manage failure impact before it occurs, asset lifecycle planning, deferral big capitals, manage spare parts plan, and extend power transformer life. This paper presents the PTHI models investigation which was conducted on 4,324 transformer records using various artificial intelligent machine learning (ML) algorithms: artificial neural network (ANN), support vector machine (SVM), Naïve Bayes (NB), decision tree (DT), random forest (RF) and k-nearest neighbours (K-NN) in R programming language. Several evaluation metrics present comparable analyses using accuracy, sensitivity, specificity, and F1-score. According to the results, the SVM model was found applicable to local electrical utility transformers’ health condition assessment. The paper addressed integrating international best practices and AM into the HI model.
    Keywords: power transformer; asset management; health index; electrical utility; decision making; strategic investment planning; R programming language; Python programming language; machine learning.
    DOI: 10.1504/IJSEAM.2024.10064593
     

 

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