Continuous Process Monitoring Through Ensemble-Based Anomaly Detection

2019 ◽  
pp. 289-301
Author(s):  
Jochen Deuse ◽  
Mario Wiegand ◽  
Kirsten Weisner
Keyword(s):  
Anomaly Detection ◽  
Process Monitoring ◽  
Continuous Process

scholarly journals Potential applications of halophilic microorganisms for biological treatment of industrial process brines contaminated with aromatics

2021 ◽  
Author(s):  
Thomas Mainka ◽  
David Weirathmüller ◽  
Christoph Herwig ◽  
Stefan Pflügl
Keyword(s):  
Wastewater Treatment ◽  
Process Monitoring ◽  
Industrial Wastewater ◽  
Continuous Process ◽  
Scale Up ◽  
Monitoring And Control ◽  
Saline Wastewater ◽  
Halophilic Microorganisms ◽  
Industrial Sectors ◽  
And Control

Abstract Saline wastewater contaminated with aromatic compounds can be frequently found in various industrial sectors. Those compounds need to be degraded before reuse of wastewater in other process steps or release to the environment. Halophiles have been reported to efficiently degrade aromatics, but their application to treat industrial wastewater is rare. Halophilic processes for industrial wastewater treatment need to satisfy certain requirements: a continuous process mode, low operational expenditures, suitable reactor systems and a monitoring and control strategy. The aim of this review is to provide an overview of halophilic microorganisms, principles of aromatic biodegradation, and sources of saline wastewater containing aromatics and other contaminants. Finally, process examples for halophilic wastewater treatment and potential process monitoring strategies are discussed. To further illustrate the significant potential of halophiles for saline wastewater treatment and to facilitate development of ready-to-implement processes, future research should focus on scale-up and innovative process monitoring and control strategies.

Continuous process monitoring for biogas plants using microwave sensors

2010 ◽  
Author(s):  
T. Nacke ◽  
A. Barthel ◽  
C. Pflieger ◽  
U. Pliquett ◽  
D. Beckmann ◽  
...  
Keyword(s):  
Process Monitoring ◽  
Continuous Process ◽  
Biogas Plants ◽  
Microwave Sensors

scholarly journals Advanced die sinking EDM process monitoring based on anomaly detection for online identification of improper process conditions

Procedia CIRP ◽  
2020 ◽  
Vol 88 ◽  
pp. 381-386
Author(s):  
Alessandra Caggiano ◽  
Francesco Napolitano ◽  
Roberto Teti ◽  
Stefano Bonini ◽  
Umang Maradia
Keyword(s):  
Anomaly Detection ◽  
Process Monitoring ◽  
Process Conditions ◽  
Online Identification ◽  
Edm Process

Process-Controlled Forming Using an Intelligent Tool on a Servo Press

2014 ◽  
Vol 622-623 ◽  
pp. 780-787
Author(s):  
Bernd Engel ◽  
Sebastian Kersten ◽  
Peter Kopfer
Keyword(s):  
Process Monitoring ◽  
Continuous Process ◽  
Research Work ◽  
Added Value ◽  
Second Step ◽  
Forming Process ◽  
Servo Press ◽  
Efficient Resource ◽  
Line Process ◽  
Servo Axis

With regard to the climate change as well as the shortage and increase in price of natural resources, efficient resource management becomes more and more important, also for production processes. More than half of the sheet metal used in the automotive industry is wasted. Considering the amount of energy and the added value associated to the discards, enormous savings are possible. The approach of this research work is to avoid waste during a forming process by means of a continuous process monitoring and a self-learning intelligent tool interacting with the servo press. The flexibility of the servo press, which is so far used to optimize the single press stroke, only, shall be exerted to respond on altering material properties of blank sheets and the thereby changing forming behaviour. The sample process includes a two-tiered bending process, in which a conventional punch performs the pre-bending in the first step and an independent servo axis the compensation-bending in the second step. If an inadmissible bending angle is measured after the second step, the servo press stops automatically and the additional servo axis performs a teaching-stroke to adjust the compensation angle. After that, the continuous process starts again. This paper presents the springback compensation strategy which uses flexible correction algorithms based on data of the on-line process monitoring as well as data of the previous bending steps. Finite Element Analyses are carried out to validate the strategy.

One class classifiers for process monitoring illustrated by the application to online HPLC of a continuous process

2010 ◽  
Vol 24 (3-4) ◽  
pp. 96-110 ◽  
Author(s):  
Sila Kittiwachana ◽  
Diana L. S. Ferreira ◽  
Gavin R. Lloyd ◽  
Louise A. Fido ◽  
Duncan R. Thompson ◽  
...  
Keyword(s):  
Process Monitoring ◽  
Continuous Process
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