[HTML][HTML] Adoptable approaches to predictive maintenance in mining industry: An overview

O Dayo-Olupona, B Genc, T Celik, S Bada - Resources Policy, 2023 - Elsevier
The mining industry contributes to the expansion of the global economy by generating vital
commodities. For continuous production, the industry relies significantly on machinery and …

Predicting shear wave velocity from conventional well logs with deep and hybrid machine learning algorithms

M Rajabi, O Hazbeh, S Davoodi, DA Wood… - Journal of Petroleum …, 2023 - Springer
Shear wave velocity (VS) data from sedimentary rock sequences is a prerequisite for
implementing most mathematical models of petroleum engineering geomechanics …

[HTML][HTML] Data driven models to predict pore pressure using drilling and petrophysical data

F Jafarizadeh, M Rajabi, S Tabasi, R Seyedkamali… - Energy Reports, 2022 - Elsevier
The mud weight window (MW) determination is one of the most important parameters in
drilling oil and gas wells, where accurate design can secure the drilled well and deliver a …

[HTML][HTML] Artificial Intelligence for safety and reliability: A descriptive, bibliometric and interpretative review on machine learning

N Tamascelli, A Campari, T Parhizkar… - Journal of Loss Prevention …, 2024 - Elsevier
This research provides a structured review of studies that utilize Artificial Intelligence for
safety and reliability. In particular, it focuses on Machine Learning techniques to perform …

Robust computational approach to determine the safe mud weight window using well-log data from a large gas reservoir

S Beheshtian, M Rajabi, S Davoodi, DA Wood… - Marine and Petroleum …, 2022 - Elsevier
A key parameter when drilling for gas and oil is to determine the safe mud weight window
(SMWW) to ensure wellbore stability as part of a quantitative risk assessment (QRA). This …

Numerical & experimental assessment of mixed-modes (I/II) fracture of PMMA/hydroxyapatite nanocomposite

M Ataei-Aazam, M Safarabadi, M Beygzade… - Theoretical and Applied …, 2023 - Elsevier
Nowadays, polymer-based nanocomposites widely used in biocompatible restorative
materials and medical equipment and polymer-based nanocomposites are the most …

Mixed-modes (I/III) fracture of aluminum foam based on micromechanics of damage

N Mehri Khansari, MRM Aliha - International Journal of …, 2023 - journals.sagepub.com
Nowadays, foam structures have several applications in industries. Basically, discontinuities
such as pores cause complications in evaluating the mechanical and fracture behavior. In …

Reduced-dimension surrogate modeling to characterize the damage tolerance of composite/metal structures

C Arndt, C Crusenberry, B Heng, R Butler, S TerMaath - Modelling, 2023 - mdpi.com
Complex engineering models are typically computationally demanding and defined by a
high-dimensional parameter space challenging the comprehensive exploration of parameter …

An overview of bearing voltages and currents in rail transportation traction motors

Y Li, L Qiu, Y Zhi, Z Gao, J Ma, J Zhang… - Journal of Zhejiang …, 2023 - Springer
In modern rail transportation, inverter drive systems have been extensively used due to their
excellent speed control capabilities. However, in recent years, premature failure problems …

Detection of Delamination in Composite Laminate Using Mode Shape Processing Method and YOLOv8

M Huang, Z Xu, D Chen, C Cai, W Yin… - … Control and Health …, 2024 - Wiley Online Library
In this study, a novel delamination detection method for composite materials is proposed
through the innovative use of You Only Look Once v8 (YOLOv8), vibration analysis, and 2D …