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Novel efficient method of failure monitoring for predictive maintenance applications

This technology uses real time Acoustic Emission (AE) measurements and a novel AI technique to achieve an intelligent online monitoring system to optimise industrial processes, e.g., predictive maintenance of plants and machines, etc.
This technology will add a great value to the optimisation of industrial processes by increasing efficiency and reducing waste. For any process, this class of AE-AI systems does not exist as present, and its novelty will create traction for commercial benefits.
This novel AI technique creates a unique bio-plausible neural network technique and includes realistic representation of the hearing mechanism.