A review of fault detection and diagnosis for the traction system in high-speed trains
H Chen, B Jiang - IEEE Transactions on Intelligent …, 2019 - ieeexplore.ieee.org
High-speed trains have become one of the most important and advanced branches of
intelligent transportation, of which the reliability and safety are still not mature enough for …
intelligent transportation, of which the reliability and safety are still not mature enough for …
Performance-based health monitoring, diagnostics and prognostics for condition-based maintenance of gas turbines: A review
With the privatization and intense competition that characterize the volatile energy sector,
the gas turbine industry currently faces new challenges of increasing operational flexibility …
the gas turbine industry currently faces new challenges of increasing operational flexibility …
[PDF][PDF] 动态系统的故障诊断技术
周东华, 胡艳艳 - 自动化学报, 2009 - aas.net.cn
摘要提出了一种全新的分类框架, 将故障诊断方法整体分为两大类, 即定性分析的方法和定量
分析的方法. 对现有的方法在此框架下进行了划分, 并详细介绍了每种方法的基本思想 …
分析的方法. 对现有的方法在此框架下进行了划分, 并详细介绍了每种方法的基本思想 …
Data mining and analytics in the process industry: The role of machine learning
Data mining and analytics have played an important role in knowledge discovery and
decision making/supports in the process industry over the past several decades. As a …
decision making/supports in the process industry over the past several decades. As a …
Perspectives on nonstationary process monitoring in the era of industrial artificial intelligence
C Zhao - Journal of Process Control, 2022 - Elsevier
The development of the Internet of Things, cloud computing, and artificial intelligence has
given birth to industrial artificial intelligence (IAI) technology, which enables us to obtain fine …
given birth to industrial artificial intelligence (IAI) technology, which enables us to obtain fine …
Advances and opportunities in machine learning for process data analytics
In this paper we introduce the current thrust of development in machine learning and
artificial intelligence, fueled by advances in statistical learning theory over the last 20 years …
artificial intelligence, fueled by advances in statistical learning theory over the last 20 years …
Review and perspectives of data-driven distributed monitoring for industrial plant-wide processes
Process monitoring is crucial for maintaining favorable operating conditions and has
received considerable attention in previous decades. Currently, a plant-wide process …
received considerable attention in previous decades. Currently, a plant-wide process …
A novel dynamic PCA algorithm for dynamic data modeling and process monitoring
Principal component analysis (PCA) has been widely applied for data modeling and process
monitoring. However, it is not appropriate to directly apply PCA to data from a dynamic …
monitoring. However, it is not appropriate to directly apply PCA to data from a dynamic …
Machine learning applications in minerals processing: A review
JT McCoy, L Auret - Minerals Engineering, 2019 - Elsevier
Abstract Machine learning and artificial intelligence techniques have an ever-increasing
presence and impact on a wide-variety of research and commercial fields. Disappointed by …
presence and impact on a wide-variety of research and commercial fields. Disappointed by …
A review on basic data-driven approaches for industrial process monitoring
Recently, to ensure the reliability and safety of modern large-scale industrial processes, data-
driven methods have been receiving considerably increasing attention, particularly for the …
driven methods have been receiving considerably increasing attention, particularly for the …