Dear customers, due to a public holiday, customer support is not available today. We will attend to your requests the next business day. Thank you for your understanding.

Check order status

Become part of a community of book lovers from all over the world and get access to a whole bunch of benefits. Create an account for free

Austrian Post 5.49 € DPD courier 3.99 € DPD point 2.99 €

Contact

How to shop

Help

My account

▸ Empty :-(

Dear customers, due to a public holiday, customer support is not available today. We will attend to your requests the next business day. Thank you for your understanding.

Data-driven Methods for Fault Localization in Process Technology

Name: Data-driven Methods for Fault Localization in Process Technology
Brand: Karlsruher Institut Fur Technologie
SKU: 06989042
Price: 41.99 EUR
Availability: InStock
Author: Christian Kühnert
ISBN: 9783731500988

Christian Kühnert

Language

English

Book Paperback

Libristo code: 06989042

Publishers Karlsruher Institut Fur Technologie, May 2014

Control systems at production plants consist of a large number of process variables. When detecting... Full description

Libristo code: 06989042

103 b

41.99 € VAT included

In stock at our supplier Shipping in 8-11 days

Delivery to Austria

30-day return policy

Customers also purchased

Raoul Taburin Jean-Jacques Sempé

Hardback

15.89 €

Economie Term STMG (Pochette Réflexe) Livre + Licence élève - 2022 Audrey Buf

Paperback

25.89 €

DIGITAL INTIMO MANUAL DE INSTRUCCIONES CASTELL

Book

12.39 €

Der kleine Buddha auf dem Weg zum Glück Claus Mikosch

Hardback

12.00 €

La tarea del artista Karl Kraus

Paperback

9.99 €

Control systems at production plants consist of a large number of process variables. When detecting abnormal behavior, these variables generate an alarm. Due to the interconnection of the plant's devices the fault can lead to an alarm flood. This again hides the original location of the causing device. In this work several data-driven approaches for root cause localization are proposed, compared and combined. All methods analyze disturbed process data for backtracking the propagation path.