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The effect of step-feeding distribution ratio on high concentration perchlorate removal performance in ABR system with heterotrophic combined sulfur autotrophic process.

Author(s): Li H, Li K, Guo J, Chen Z, Han Y, Song Y, Lu C, Hou Y, Zhang D, Zhang Y

In a lab-scale anaerobic baffled reactor (ABR) with eight compartments, the heterotrophic and sulfur autotrophic processes were combined to remove perchlorate. And then, the step-feeding distribution ratio of the heterotrophic perchlorate reduction unit (HP...

Article GUID: 33485237
Distributed adaptive fault-tolerant close formation flight control of multiple trailing fixed-wing UAVs.

Author(s): Yu Z, Zhang Y, Jiang B, Yu X, Fu J, Jin Y, Chai T

ISA Trans. 2020 Jul 09;: Authors: Yu Z, Zhang Y, Jiang B, Yu X, Fu J, Jin Y, Chai T

Article GUID: 32680604
Assessment of regional greenhouse gas emission from beef cattle production: A case study of Saskatchewan in Canada.

Author(s): Chen Z, An C, Fang H, Zhang Y, Zhou Z, Zhou Y, Zhao S

J Environ Manage. 2020 Mar 25;264:110443 Authors: Chen Z, An C, Fang H, Zhang Y, Zhou Z, Zhou Y, Zhao S

Article GUID: 32217321
Deep model integrated with data correlation analysis for multiple intermittent faults diagnosis.

Author(s): Yang J, Xie G, Yang Y, Zhang Y, Liu W

ISA Trans. 2019 May 30;: Authors: Yang J, Xie G, Yang Y, Zhang Y, Liu W

Article GUID: 31174854
Antagonistic interactions between two MAP kinase cascades in plant development and immune signaling.

Author(s): Sun T, Nitta Y, Zhang Q, Wu D, Tian H, Lee JS, Zhang Y

EMBO Rep. 2018 07;19(7): Authors: Sun T, Nitta Y, Zhang Q, Wu D, Tian H, Lee JS, Zhang Y

Article GUID: 29789386
Biogenic membranes of the chloroplast in Chlamydomonas reinhardtii.

Author(s): Schottkowski M, Peters M, Zhan Y, Rifai O, Zhang Y, Zerges W

Proc Natl Acad Sci U S A. 2012 Nov 20;109(47):19286-91 Authors: Schottkowski M, Peters M, Zhan Y, Rifai O, Zhang Y, Zerges W

Article GUID: 23129655
A Lithium-Sulfur Battery using a 2D Current Collector Architecture with a Large-Sized Sulfur Host Operated under High Areal Loading and Low E/S Ratio.

Author(s): Li M, Zhang Y, Bai Z, Liu WW, Liu T, Gim J, Jiang G, Yuan Y, Luo D, Feng K, Yassar RS, Wang X, Chen Z, Lu J

Adv Mater. 2018 Nov;30(46):e1804271 Authors: Li M, Zhang Y, Bai Z, Liu WW, Liu T, Gim J, Jiang G, Yuan Y, Luo D, Feng K, Yassar RS, Wang X, Chen Z, Lu J

Article GUID: 30368935
Effects of pool size and spacing on burning rate and flame height of two square heptane pool fires.

Author(s): Wan H, Gao Z, Ji J, Zhang Y, Li K, Wang L

J Hazard Mater. 2019 May 05;369:116-124 Authors: Wan H, Gao Z, Ji J, Zhang Y, Li K, Wang L

Article GUID: 30776594
Simulation of electromechanical coupling coefficient by modified modal frequency spectrum method including the electrode effect

Author(s): Zhang Y, Wang Z, Cheeke JD

Ultrasonics. 2000 Mar;38(1-8):114-7 Authors: Zhang Y, Wang Z, Cheeke JD

Article GUID: 10829640
Title:Deep model integrated with data correlation analysis for multiple intermittent faults diagnosis.
Authors:Yang J,  Xie G,  Yang Y,  Zhang Y,  Liu W
Link:https://www.ncbi.nlm.nih.gov/pubmed/31174854?dopt=Abstract
DOI:10.1016/j.isatra.2019.05.021
Category:ISA Trans
PMID:31174854
Dept Affiliation: ENCS
1 School of automation and information engineering, Xi'an University of Technology, Jinhua South Road, Beilin District, Xi'an, China; School of mechatronics and automotive engineering, Tianshui Normal University, Xihe South Road, Qinzhou District, Tianshui, China.
2 School of automation and information engineering, Xi'an University of Technology, Jinhua South Road, Beilin District, Xi'an, China. Electronic address: guoxie@xaut.edu.cn.
3 School of automation and information engineering, Xi'an University of Technology, Jinhua South Road, Beilin District, Xi'an, China.
4 Concordia University, 1455 de Maisonneuve Blvd. W. Montreal, Quebec H3G 1M8, Canada.

Description:

Deep model integrated with data correlation analysis for multiple intermittent faults diagnosis.

ISA Trans. 2019 May 30;:

Authors: Yang J, Xie G, Yang Y, Zhang Y, Liu W

Abstract

Currently, single fault diagnosis has received mass concern, and the related research achievements are remarkable. However, because of the mutual interaction of subsystems and the coupling of faults characteristics, the diagnosis of multiple intermittent faults commonly existing in industrial systems is still an intractable problem. In order to solve the problem, an improved Constrained Sparse Autoencoder integrated with Correlation Analysis (CA-CSAE) is proposed, further, a diagnosis scheme for multiple intermittent faults is formulated in this paper. The main strategies are as follows. (1) An adaptive loss function and a constraint for initial weight are designed to improve the diversity and accuracy of SAE feature learning. (2) A relational constraint term is constructed to mitigate the effect of data correlation. (3) The evaluation criterion of data correlation degree is put forward to quantify the scope of the method. (4) In order to improve the diagnostic efficiency, ReLU is introduced as the activation function of hidden layer, and L-BFGS algorithm is employed to obtain the optimal solution. (5) Softmax classifier is employed as the output layer to identify fault mode and ensure the reliability of diagnosis results. Finally, comparison experiments and results analysis are conducted to verify the effectiveness and practicability of the proposed method.

PMID: 31174854 [PubMed - as supplied by publisher]