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A progressive failure model is adopted to detect various types of mechanical failure.
Statistical signal processing is adopted to detect signals with average strength much lower than one photon per measurement.
In contrast to dense motion segmentation, sparse edge alignment with distance transform (DT) errors is adopted to detect the states of image areas.
Finally, the proposed adaptive parameter-induced tri-stable stochastic resonance method is adopted to detect the mixed multiple high-frequency weak signal.
A bond graph model based diagnostic strategy is adopted to detect and isolate kinetic and thermodynamic drift of chemical reactors due to the appearance of secondary reactions.
A noncoherent demodulation scheme is employed to resolve the complexity and power dissipation problem, where a phase-shift down sampling method is adopted to detect the maximum phase accumulation which is the location of the correct data.
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A digital image correlation (DIC) system was adopted to detect strain distribution along the retrofitting patches.
The sequence components of superimposed current are adopted to detect fault incidents in the microgrid.
The quenching rate of nitromethane to the pyrene label in the multilayer film was adopted to detect the chain density and permeability of these films.
A symmetrical BACI design was adopted to detect the impact, where multiple disturbed sites were contrasted with multiple controls in two distinct times, i.e. right few days after the chain settling (early) and 4 months later the disturbance (late).
Although primarily intended to model transient components from musical signals, the system described in [23] could also be adopted to detect note onsets.
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