Model-based diagnosis of electronic cooling fan drive systems

2018 ◽  
Author(s):  
Michael Pagel
Keyword(s):  
Fault Detection ◽  
Fault Detection And Diagnosis ◽  
Equivalent Series Resistance ◽  
Efficient Design ◽  
Model Based ◽  
Cooling Fan ◽  
Internal States ◽  
Detection And Diagnosis ◽  
Drive Systems

Kurzzusammenfassung: Model-based diagnosis of electric cooling fan drive systems is a contribution to the field of fault detection and diagnosis for electrically driven engine cooling fans. Its main focus is on the online gathering and determination of important parameters and internal states. The developed methods for fault detection and diagnosis are characterized by resource and computing efficient design and by a low application effort, drastically reducing the costs for transferring them to other applications. Novel algorithms are presented for determination of the winding resistance, the flux linkage over angle and the equivalent series resistance. Based on these algorithms, a new and innovative approach for determination of the magnet temperature is proposed, utilizing the winding temperature, which is derived without requiring an additional temperature sensor. Furthermore, methods are presented for detection of a demagnetization event, detection of an aged DC-link capacitor and...

Model-based fault detection and diagnosis for hydraulic braking systems

2003 ◽  
Vol 36 (5) ◽  
pp. 307-312 ◽  
Author(s):  
Harald Straky ◽  
Marco Muenchhof ◽  
Rolf Isermann
Keyword(s):  
Fault Detection ◽  
Fault Detection And Diagnosis ◽  
Model Based ◽  
Detection And Diagnosis

scholarly journals Fault Diagnosis in a Centrifugal Pump Using Active Magnetic Bearings

2004 ◽  
Vol 10 (3) ◽  
pp. 183-191 ◽  
Author(s):  
Rainer Nordmann ◽  
Martin Aenis
Keyword(s):  
Fault Detection ◽  
Centrifugal Pump ◽  
Fault Detection And Diagnosis ◽  
Magnetic Bearings ◽  
Diagnostic Tools ◽  
Contactless Measurement ◽  
Active Magnetic Bearings ◽  
Model Based ◽  
Detection And Diagnosis ◽  
Conventional Systems

The number of rotors running in active magnetic bearings (AMBs) has increased over the last few years. These systems offer a great variety of advantages compared to conventional systems. The aim of this article is to use the AMBs together with a developed built-in software for identification, fault detection, and diagnosis in a centrifugal pump. A single-stage pump representing the turbomachines is investigated. During full operation of the pump, the AMBs are used as actuators to generate defined motions respectively forces as well as very precise sensor elements for the contactless measurement of the responding displacements and forces. In the linear case, meaning small motions around an operating point, it is possible to derive compliance frequency response functions from the acquired data. Based on these functions, a model-based fault detection and diagnosis is developed which facilitates the detection of faults compared to state-of-the-art diagnostic tools which are only based on the measurement of the systems outputs, i.e., displacements. In this article, the different steps of the model-based diagnosis, which are modeling, generation of significant features, respectively symptoms, fault detection, and the diagnosis procedure itself are presented and in particular, it is shown how an exemplary fault is detected and identified.

Model-based On-Board Fault Detection and Diagnosis for Automotive Engines

1991 ◽  
Vol 24 (6) ◽  
pp. 503-508 ◽  
Author(s):  
J.J. Gertler ◽  
M. Costin ◽  
Xiaowen Fang ◽  
R. Hira ◽  
Z. Kowalczuk ◽  
...  
Keyword(s):  
Fault Detection ◽  
Fault Detection And Diagnosis ◽  
Automotive Engines ◽  
Model Based ◽  
Detection And Diagnosis
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