Small data challenges for intelligent prognostics and health management: a review
Prognostics and health management (PHM) is critical for enhancing equipment reliability
and reducing maintenance costs, and research on intelligent PHM has made significant …
and reducing maintenance costs, and research on intelligent PHM has made significant …
PSO, a swarm intelligence-based evolutionary algorithm as a decision-making strategy: A review
DD Ramírez-Ochoa, LA Pérez-Domínguez… - Symmetry, 2022 - mdpi.com
Companies are constantly changing in their organization and the way they treat information.
In this sense, relevant data analysis processes arise for decision makers. Similarly, to …
In this sense, relevant data analysis processes arise for decision makers. Similarly, to …
Artificial intelligence in prognostics and health management of engineering systems
S Ochella, M Shafiee, F Dinmohammadi - Engineering Applications of …, 2022 - Elsevier
Prognostics and health management (PHM) has become a crucial aspect of the
management of engineering systems and structures, where sensor hardware and decision …
management of engineering systems and structures, where sensor hardware and decision …
A novel deep convolutional neural network-bootstrap integrated method for RUL prediction of rolling bearing
In this study, a novel deep convolutional neural network-bootstrap-based integrated
prognostic approach for the remaining useful life (RUL) prediction of rolling bearing is …
prognostic approach for the remaining useful life (RUL) prediction of rolling bearing is …
A data-driven digital-twin prognostics method for proton exchange membrane fuel cell remaining useful life prediction
Prognostics and health management of proton exchange membrane fuel cell (PEMFC)
systems have driven increasing research attention in recent years as the durability of …
systems have driven increasing research attention in recent years as the durability of …
Temporal convolutional network with soft thresholding and attention mechanism for machinery prognostics
Remaining useful life (RUL) prediction is a challenging task for prognostics and health
management (PHM). Due to the complexity physics involved for precisely modeling the …
management (PHM). Due to the complexity physics involved for precisely modeling the …
A machine-learning based data-oriented pipeline for prognosis and health management systems
MLH Souza, CA da Costa, G de Oliveira Ramos - Computers in Industry, 2023 - Elsevier
The search for effective asset utilization has been constant, especially in industries with
evolving mechanization. In this context, maintenance management gains visibility because it …
evolving mechanization. In this context, maintenance management gains visibility because it …
Developing a deep learning-based uncertainty-aware tool wear prediction method using smartphone sensors for the turning process of Ti-6Al-4V
Accurately predicting tool wear is crucial for intelligent machining process monitoring,
control, and quality improvement. Recent studies on tool wear prediction predominantly …
control, and quality improvement. Recent studies on tool wear prediction predominantly …
A multi-branch deep neural network model for failure prognostics based on multimodal data
Non-numerical data, such as images and inspection records, contain information about
industrial system degradation, but they are rarely used for failure prognostic tasks given the …
industrial system degradation, but they are rarely used for failure prognostic tasks given the …
Towards an adapted PHM approach: Data quality requirements methodology for fault detection applications
N Omri, Z Al Masry, N Mairot, S Giampiccolo… - Computers in …, 2021 - Elsevier
Increasingly, extracting knowledge from data has become an important task in organizations
for performance improvements. To accomplish this task, data-driven Prognostics and Health …
for performance improvements. To accomplish this task, data-driven Prognostics and Health …