Kühnert, Christian <br/><br/>
Data-driven Methods for Fault Localization in Process Technology 

 -  KIT Scientific Publishing  2013 
 - 1 electronic resource (XVIII, 194 p. p.) 
<br/><br/> Open Access 
<br/><br/> 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. 
<br/><br/><br/>Creative Commons 
<br/><br/><br/>English 
<br/><br/><label>ISBN: </label>KSP/1000036427 9783731500988 
<br/><br/><label>Standard No.: </label>10.5445/KSP/1000036427  doi 
<br/><br/><label>Subjects--Index Terms: </label>Time series Signal processing Data Mining System identification Causality