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Proposed Monitoring and Anomaly Detection algorithm uses pattern recognition to improve failure detection and estimation of Remaining Useful Life (RUL).
Results indicated that the doubler plate can significantly increase the initial stiffness, ultimate capacity, and considerably improve failure modes.
Results indicated that the doubler plate can significantly enhance the initial stiffness, ultimate capacity, and considerably improve failure patterns of T- and Y-joints under IPB load.
This algorithm is used to determine whether the manufacturing process requires modification, in an attempt to save human and material resources and improve failure rate.
Experimental results indicated that stitching can significantly improve failure load and interlaminar fracture resistance of the joints in wind turbine composite blade structures.
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Such teams may improve "failure-to-rescue" rates.
Improved failure predictions were obtained by utilising a fracture energy for compressive fibre failure which was considered more relevant for simulating bearing damage.
Three parameterized finite element models are developed to discuss the accuracy and applicability of the 3D explicit FEMs based on different modeling strategies and improved failure criteria.
Such analysis will help generate improved failure models and devise strategies to couple such models into the larger CPS framework.
Clinical outcomes were assessed as success (cured or improved), failure or non-evaluable.
Specifically, eccentric training has shown significant increases in failure load, failure stress, and vascularisation, while concentric training only significantly improved failure stress.
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