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In amplitude demodulated spectrum (squared envelope spectrum) of the sensitive component, we diagnose planet bearing faults by matching the present peaks with the theoretical fault characteristic frequencies.
Finally, planet bearing fault can be diagnosed by matching the peaks identified in amplitude and frequency demodulated spectra with the theoretical fault characteristic frequencies.
Residual generators are designed by means of Causal Computation analysis and the maximum theoretical fault isolability, achievable with a minimal number of installed sensors, is investigated.
In this method, fault is identified in a rotor bearing system by minimizing difference between equivalent loads estimated in the system due to the fault and theoretical fault model loads.
By using the theoretical fault signature matrix (FSM), which summarizes the effects of the different faults on the available residuals, the fault is isolated by means of a logic reasoning that takes into account the bounded uncertainty, and if the number of candidate faults is more than one, a correlation analysis is used to obtain the most likely fault candidate.
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It is also theoretical to a fault.
The vector and symmetrical component analysis methods have also been developed to constitute the theoretical basis for fault identification.
Since the theoretical demonstration of fault-tolerant quantum information processing, a holy grail of modern physics has been to realize fault-tolerant quantum computing architectures in the lab.
In the O-K ELNES of Al2O3 stacking faults, theoretical calculation suggests that the spectral feature reflects coordination environment and chemical bonding.
We propose an information theoretic measure, Squeeziness, as the theoretical basis for avoiding fault masking.
Based on theoretical modeling of dynamic fault ruptures, several investigations were made on fault steps (e.g., Harris and Day 1993; Kase and Kuge 1998) and fault branches (e.g., Poliakov et al. 2002; Kame et al. 2003).
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