Automated phase offset correction using reflectometry in fault detection systems

2017 ◽  
Author(s):  
Esteban Cabanillas ◽  
Christophe Layer
Keyword(s):  
Fault Detection ◽  
Detection Systems ◽  
Phase Offset ◽  
Offset Correction

Performance Analysis of GPS/BDS Precise Point Positioning

2015 ◽  
Vol 713-715 ◽  
pp. 1123-1126
Author(s):  
Xiao Yu Li ◽  
Jun Wang ◽  
Ya Tao Liu
Keyword(s):  
Precise Point Positioning ◽  
Satellite Orbit ◽  
Gps Measurements ◽  
Differential Code Bias ◽  
Phase Offset ◽  
Antenna Phase ◽  
Offset Correction ◽  
Code Bias ◽  
Point Positioning ◽  
Processing Steps

Precise Point Positioning (PPP) with GPS measurements has achieved a level of success. In order to benefit from the multiple available constellations, research has been undertaken to combineGPS and BDS measurements in PPP processing.Mathematical models of GPS/BDS combined precise point positioning are introduced in this paper. GPS/BDS combined PPP models are developed based on the GPS-only PPP. The data pre-processing steps include applying satellite orbit and clock corrections, satellite antenna phase offset correction, receiver antenna phase offset correction, differential code bias corrections, troposphere delay corrections and the the Ionosphere-free observation combination is used. The results show that the positioning precision and convergence speed of GPS/BDS combined PPP are improved compared with GPS-only PPP.

Edge-based Explainable Fault Detection Systems for photovoltaic panels on edge nodes

2021 ◽  
Author(s):  
Seshapalli Sairam ◽  
Subathra Seshadhri ◽  
Giancarlo Marafioti ◽  
Seshadhri Srinivasan ◽  
Geir Mathisen ◽  
...  
Keyword(s):  
Fault Detection ◽  
Photovoltaic Panels ◽  
Detection Systems ◽  
Edge Based

Gradient-based fuzzy fault isolation in residual-based fault detection systems

2014 ◽  
Author(s):  
Francisco Serdio ◽  
Edwin Lughofer ◽  
Kurt Pichler ◽  
Thomas Buchegger ◽  
Markus Pichler ◽  
...  
Keyword(s):  
Fault Detection ◽  
Fault Isolation ◽  
Detection Systems ◽  
Gradient Based

Robust fault detection of dynamic systems via genetic algorithms

1997 ◽  
Vol 211 (5) ◽  
pp. 357-364 ◽  
Author(s):  
R J Patton ◽  
J Chen ◽  
G P Liu
Keyword(s):  
Genetic Algorithm ◽  
Fault Detection ◽  
Flight Control ◽  
Optimal Solution ◽  
Inequality Constraints ◽  
Performance Indices ◽  
Frequency Distributions ◽  
Modelling Uncertainty ◽  
Detection Systems ◽  
Robust Fault Detection

This paper presents a new approach to the design of robust fault detection systems via a genetic algorithm. To achieve robustness, a number of performance indices are introduced, which are expressed in the frequency domain to account for the frequency distributions of incipient faults, noise and modelling uncertainty. All objectives are then reformulated into a set of inequality constraints on performance indices. A genetic algorithm is thus used to search an optimal solution to satisfy these inequality constraints. The approach developed is applied to a flight control system example and results show that incipient sensor faults can be detected reliably in the presence of modelling uncertainty.

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