[PDF][PDF] Best practices framework for improving maintenance data quality to enable asset performance analytics

S Lukens, M Naik, K Saetia, X Hu - Annual conference of the phm …, 2019 - researchgate.net
Field maintenance data is often captured manually and is prone to having incomplete and
inaccurate information in the structured fields. However, unstructured fields captured through …

Evaluating word representations in a technical language processing pipeline

AV Nandyala, S Lukens, S Rathod… - Phm society …, 2021 - papers.phmsociety.org
The recent explosion of advancements in natural language processing (NLP) are
encouraging in the industrial sector for leveraging the volumes of unstructured, technical …

Semi-automated estimation of reliability measures from maintenancework order records

T Bikaun, M Hodkiewicz - PHM Society European …, 2021 - papers.phmsociety.org
Determining mean-time-between-failure (MTBF) estimation for in-service assets is an
essential process. Statistical distributions of end-of-life values are used to assess asset …

[PDF][PDF] Data-driven approach to equipment taxonomy classification

K Saetia, S Lukens, E Pijcke… - Annual Conference of …, 2019 - pdfs.semanticscholar.org
ABSTRACT A standardized taxonomy enables asset-intensive industrial organizations to
systematically measure and track efficiency and performance of assets at different levels in …

[PDF][PDF] Data-driven application of PHM to asset strategies

S Lukens, M Markham - Proceedings of the annual conference of …, 2018 - researchgate.net
There are many benefits from implementing a prognostics and health management (PHM)
initiative in an industrial facility, such as realizing potentials from reducing unplanned …

[PDF][PDF] Data-driven approach to estimate maintenance life cycle cost of assets

S Lukens, M Markham, M Naik… - Model-Based Enterprise …, 2019 - nvlpubs.nist.gov
Different participants in the supply chain of an industrial asset, from original equipment
manufacturer (OEM) to owner/operator (O/O), know more than others about significant …