Skip to main content

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.

Novel material and a method to sense chemical ions for medical, agriculture and defence applications.

We have developed a new polymeric material that can be embedded with a variety of sensors to detect chemical ions. Our patented technology can be integrated into a range of existing devices for monitoring ion levels in samples – in real-time.
Our technology creates a range of benefits for following applications.
Medical – Point-of-care diagnostics to monitor blood content
Agriculture – Pesticide and herbicide monitoring
Environment – Drinking water analysis and sampling
Food and drink – Quality control and contaminant detection
Security and defence – Stand-off detection of harmful agents