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From the experimental results, the proposed methodology is proven to be sensitive enough to detect the fault evolution in the time-frequency plane of single and combined faults under different operating regimes (start-up and steady-state) in inverter-fed induction motor.
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Then, based on the decomposition results, the combined fault magnitudes along these critical directions are calculated from which a vector auto-regression model is developed to capture the time-series correlation and track the fault evolution process.
The classification is based on five factors considering the (I) shaking intensity, (II) the combined fault location-type and length characteristics, the (III) general topographic context (average slope steepness and height for a region), (IV) climatic background and temporary hydro-meteorological conditions as well as (V) regional and local lithological properties.
It identifies possible causal factors and potential consequences and provides quantitative results by combining fault and event tree analyses.
Fault diagnosis combining fault mechanism and detection techniques; it is a subject based on the theory of signal processing and pattern recognition.
Our approach to fault tree analysis, which combines fault-oriented and cause/effect-oriented viewpoints, is easy to understand and offers systematic guidelines to ensure safety of PLC code.
The proposed methods are based on an Error Detection Logic (EDC) in the combinational circuit part combined with fault tolerant memory elements implemented using fault tolerant master slave flip-flops.
Thus, preventive maintenance combined with fault diagnosis techniques have become an essential issue.
We believe the sparsity method can be combined with fault detection and reliable control methods, as discussed in [41, 42].
The proposed method reduces the conservatism as compared to the functional reliability analysis combined with fault tree approach.
Plastic rheology of debris flows combined with fault-related topography are considered the major factors that control sediment distribution and fan architecture.
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