Journal ArticleDOI
A comparison study of basic data-driven fault diagnosis and process monitoring methods on the benchmark Tennessee Eastman process
TLDR
A comparison study on the basic data-driven methods for process monitoring and fault diagnosis (PM–FD) based on the original ideas, implementation conditions, off-line design and on-line computation algorithms as well as computation complexity are discussed in detail.About:
This article is published in Journal of Process Control.The article was published on 2012-10-01. It has received 1116 citations till now. The article focuses on the topics: Benchmark (computing).read more
Citations
More filters
Journal ArticleDOI
Fault diagnosis of rotary machinery components using a stacked denoising autoencoder-based health state identification
TL;DR: An effective and reliable deep learning method known as stacked denoising autoencoder (SDA), which is shown to be suitable for certain health state identifications for signals containing ambient noise and working condition fluctuations, is investigated.
Journal ArticleDOI
Real-Time Implementation of Fault-Tolerant Control Systems With Performance Optimization
Shen Yin,Hao Luo,Steven X. Ding +2 more
TL;DR: Two online schemes for an integrated design of fault-tolerant control (FTC) systems with application to Tennessee Eastman (TE) benchmark are proposed.
Journal ArticleDOI
Fault-tolerant control of Markovian jump stochastic systems via the augmented sliding mode observer approach
TL;DR: An observer-based mode-dependent control scheme is developed to stabilize the resulting overall closed-loop jump system and is utilized to eliminate the effects of sensor faults and disturbances.
Journal ArticleDOI
Improved PLS Focused on Key-Performance-Indicator-Related Fault Diagnosis
TL;DR: An improved PLS (IPLS) approach is presented, able to decompose the measurable process variables into the KPI-related and unrelated parts, respectively, and shows satisfactory results not only for diagnosing K PI-related faults but also for its high fault detection rate.
Journal ArticleDOI
Observer-Based Output Feedback Event-Triggered Control for Consensus of Multi-Agent Systems
TL;DR: Two novel observer-based event-triggered control schemes, one centralized and the other distributed, are developed and it is shown that under the proposed control protocols, consensus can be reached if the underlying communication graph of the MAS is connected.
References
More filters
Book
Principal Component Analysis
TL;DR: In this article, the authors present a graphical representation of data using Principal Component Analysis (PCA) for time series and other non-independent data, as well as a generalization and adaptation of principal component analysis.
BookDOI
Density estimation for statistics and data analysis
TL;DR: The Kernel Method for Multivariate Data: Three Important Methods and Density Estimation in Action.
Book
Independent Component Analysis
TL;DR: Independent component analysis as mentioned in this paper is a statistical generative model based on sparse coding, which is basically a proper probabilistic formulation of the ideas underpinning sparse coding and can be interpreted as providing a Bayesian prior.
Journal ArticleDOI
Independent component analysis: algorithms and applications
Aapo Hyvärinen,Erkki Oja +1 more
TL;DR: The basic theory and applications of ICA are presented, and the goal is to find a linear representation of non-Gaussian data so that the components are statistically independent, or as independent as possible.