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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.

Novel artificial neural network for engineering and financial monitoring applications

This technology is a new class of artificial neuron that can be incorporated to various AI architectures, in particular for the case of Spiking Neural Networks (SNNs). The new neuron is termed Stochastically Delaying Spiking Neuron (SDSN) and its defining feature is that it is more robust to asynchronicities in the data.
SDSN is partly inspired by the asymmetrical delay effects introduced in the human auditory system prior to neural processing.
This technology can be applied to engineering process monitoring, financial data monitoring, etc.