Lifetime prediction of a hydraulic pump using ARIMA model
In the present work, the Auto-Regressive Integrated Moving-Average (ARIMA) forecasting
method is used to predict the remaining useful life (RUL) of an axial piston pump used in the …
method is used to predict the remaining useful life (RUL) of an axial piston pump used in the …
New criteria for wrapper feature selection to enhance bearing fault classification
Classification is a critical task in many fields, including signal processing and data analysis.
The accuracy and stability of classification results can be improved by selecting the most …
The accuracy and stability of classification results can be improved by selecting the most …
Leveraging label information in a knowledge-driven approach for rolling-element bearings remaining useful life prediction
Since bearing deterioration patterns are difficult to collect from real, long lifetime scenarios,
data-driven research has been directed towards recovering them by imposing accelerated …
data-driven research has been directed towards recovering them by imposing accelerated …
A hybrid machine learning approach for designing a new xy compliant mechanism to maximize fatigue life
An XY-compliant mechanism is a two-degree of freedom positioner which is considered to
have some distinguishing characteristics in ultra-precision technology. To ensure a long …
have some distinguishing characteristics in ultra-precision technology. To ensure a long …
Comparative assessment between DFA, NSGA-II coupled with TOPSIS, GRA, and TOPSIS for multiobjective optimization of gray cast iron turning process using CBN …
S Chihaoui, I Meddour… - Proceedings of the …, 2024 - journals.sagepub.com
This work deals with the optimization of the machining process of EN-GJL-250 gray cast iron
with a CBN/Tin-coated insert. The multiobjective optimization was performed by four …
with a CBN/Tin-coated insert. The multiobjective optimization was performed by four …
Predictive maintenance in the industry: A comparative study on deep learning-based remaining useful life estimation
L Lorenti, D Dalle Pezze, J Andreoli… - 2023 IEEE 21st …, 2023 - ieeexplore.ieee.org
Predictive Maintenance (PdM) aims to detect forth-coming failures in machinery to reduce
costs associated with defective products and equipment inactivity. Remaining Useful Life …
costs associated with defective products and equipment inactivity. Remaining Useful Life …
Multi-response performance optimization of burnishing operation for improving hole quality
TT Nguyen - Journal of the Brazilian Society of Mechanical Sciences …, 2021 - Springer
Improving hole quality in the burnishing operation is a necessary demand to enhance its
applications in different industrial aspects. The purpose of this investigation is to optimize …
applications in different industrial aspects. The purpose of this investigation is to optimize …
Vibration signal acquisition and computer simulation detection of mechanical equipment failure
The author in order to solve the problem of optimizing the accuracy of mechanical
equipment failure detection proposes a vibration signal collection and computer simulation …
equipment failure detection proposes a vibration signal collection and computer simulation …
Comparative analysis of novel data‐driven techniques for remaining useful life estimation of wind turbine high‐speed shaft bearings
As the global momentum for wind power generation accelerates, the industry faces
substantial challenges due to premature failures in wind turbine components. These failures …
substantial challenges due to premature failures in wind turbine components. These failures …
Mechanically Stabilized Earth Wall Reliability Analysis Using Response Surface Methodology, ANN, ANFIS and Multi-objective Genetic Algorithm
Considering uncertainty in the analysis of geotechnical structures is a necessary condition
for optimal and robust design. An alternative method for studying the reliability of a …
for optimal and robust design. An alternative method for studying the reliability of a …