Mtelligence unveils SaaS machine condition learning system
1 min read
The first machine learning platform with turnkey integration claimed for all leading operations and maintenance systems used in manufacturing has been launched by Mtelligence.
Its technology, called mVision, was developed by a team of data mining specialists with more than a decade of experience in applying machine learning techniques to the largest commercial and military data warehouses in the world.
Alex Bates, Mtelligence CTO, explains that the new system applies to manufacturers that find themselves having spent significant budget on maintenance and plant automation systems, but still plagued by equipment failure, energy wastage and poor product quality.
mVision, he says, applies a combination of supervised and unsupervised learning techniques to determine predictors of equipment failure and then continuously monitors for those.
"Machine learning hasn't hit mainstream in manufacturing – in part due to the effort required to build an accurate model and get the data needed to train the system," says Bates.
"Meanwhile, plant engineers and maintenance managers have been struggling to make sense of the mountains of data coming from various software packages. mVision enables customers to convert this data into profit."
The platform, he says, includes pre-built adapters for maintenance, automation and condition monitoring systems, converting all data into the MIMOSA (Machinery Information Management Open Systems Alliance) open standard data model.
"In continuous manufacturing environments, one of the toughest decisions is when to stop production for preventive maintenance," comments Bates.
"Preventive maintenance is often deferred, leading to increased component failures and reactive maintenance," he continues. "With mVision, maintenance is prioritised based on the actual condition of the equipment."
