A survey of predictive maintenance: Systems, purposes and approaches
This paper provides a comprehensive literature review on Predictive Maintenance (PdM)
with emphasis on system architectures, purposes and approaches. In industry, any outages …
with emphasis on system architectures, purposes and approaches. In industry, any outages …
Deep learning aided data-driven fault diagnosis of rotatory machine: A comprehensive review
This paper presents a comprehensive review of the developments made in rotating bearing
fault diagnosis, a crucial component of a rotatory machine, during the past decade. A data …
fault diagnosis, a crucial component of a rotatory machine, during the past decade. A data …
Transfer learning enabled convolutional neural networks for estimating health state of cutting tools
Abstract Effective Prognostics and Health Management (PHM) for cutting tools during
Computerized Numerical Control (CNC) processes can significantly reduce downtime and …
Computerized Numerical Control (CNC) processes can significantly reduce downtime and …
[HTML][HTML] Continual learning for predictive maintenance: Overview and challenges
Deep learning techniques have become one of the main propellers for solving engineering
problems effectively and efficiently. For instance, Predictive Maintenance methods have …
problems effectively and efficiently. For instance, Predictive Maintenance methods have …
Partly interpretable transformer through binary arborescent filter for intelligent bearing fault diagnosis
Z Jiao, L Pan, W Fan, Z Xu, C Chen - Measurement, 2022 - Elsevier
Deep learning (DL) has been widely studied in the field of bearing fault diagnosis and
provides some advantages when applied to rich recorded data. However, DL models remain …
provides some advantages when applied to rich recorded data. However, DL models remain …
CNN-based fault detection for smart manufacturing
A smart factory is a highly digitized and networked production facility based on smart
manufacturing. A smart manufacturing plant is the result of intelligent systems deployed in …
manufacturing. A smart manufacturing plant is the result of intelligent systems deployed in …
An optimized variational mode decomposition and symmetrized dot pattern image characteristic information fusion-Based enhanced CNN ball screw vibration …
F Yang, X Tian, L Ma, X Shi - Measurement, 2024 - Elsevier
The failure of the ball screw in the machine tool presents various types and complex
coupling characteristics, which pose challenges in extracting fault features from vibration …
coupling characteristics, which pose challenges in extracting fault features from vibration …
A systematic mapping study on machine learning techniques applied for condition monitoring and predictive maintenance in the manufacturing sector
TLJ Phan, I Gehrhardt, D Heik, F Bahrpeyma… - Logistics, 2022 - mdpi.com
Background: Today's production facilities must be efficient in both manufacturing and
maintenance. Efficiency enables the company to maintain the required output while …
maintenance. Efficiency enables the company to maintain the required output while …
Deep learning-based bearing fault detection using 2-D illustration of time sequence
With the rapid development of science and technology, the production facilities are also
growing advanced. An intelligent production facility is the outcome of smart systems used …
growing advanced. An intelligent production facility is the outcome of smart systems used …
小电流接地系统单相接地故障选线空间域图像生成及融合方法.
程文傲， 徐明， 高金峰 - Electric Power Automation …, 2021 - search.ebscohost.com
为发挥深度学习算法特征自学习及其在图像处理领域的优势, 避免当前小电流接地系统单相接地
故障选线中人工提取故障特征信息缺失的问题, 提出了一种通过生成故障电流全信息空间域图像 …
故障选线中人工提取故障特征信息缺失的问题, 提出了一种通过生成故障电流全信息空间域图像 …