Forecasting the health of machines

Senseye, a British startup, are pioneering a way for operators of machinery to be able to predict the machine's health by using technology and concepts from the aerospace and defence sectors. It is said the technology could reduce overall operations and maintenance costs by 20%.

The company's founders come from the aerospace and defence industries, where condition-monitoring systems are already able to predict engine performance component wear rates, safety failures and optimisation opportunities. Senseye is trying to bring this concept to help the manufacutring industry, allowing operators to understand equipment performance more accurately and predict sub-optimal conditions and maintenance issues.

"Accurate predictive software has been used for over 20 years in the defence industry. Unfortunately, it's expensive and complex and requires expert input," Robert Russell, Senseye's cto said. "We're changing that with Senseye, by giving the manufacturing and machines markets predictive technology that they can use without a background in engineering or data analytics and for less than the cost of a small pump. This makes it particularly suitable for smaller businesses that have been previously priced out of such products."

Senseye is currently accepting applications to join the web-based software trials for no cost, on a first come-first served basis.