FutureMain Co., Ltd.leading South Korean industrail AI-based predictive maintenance solution companyis achieving remarkable success with its patented ExRBM solution in the global manufacturing industry. “Zero downtime for facilities,” adds Lee Sun-hwi, the company’s CEO, for maximum operational productivity is inreach with this new technology.
FutureMain has a 35-year plus track record of extensive work on a variety of industrial sites including power plants, oil, steel, and chemical plants. This long-standing knowledge has helped to build ExRBM, a predictive maintenance tool fully developed with technology created by FutureMain.
Maintenance practices have traditionally been reactive or preventative, resulting in lost productivity because of unplanned equipment failures or unnecessary component replacements. Rough estimates suggest that factories may lose 5% to 20% of productivity a year for this kind of downtime.
This is the problem ExRBM addresses using AI and big data. The system automatically diagnoses equipment based on the collection and analysis of real-time data from Internet-of-Things sensors and devices.
This has been driven by FutureMain’s exclusive AI algorithms that utilise deep-learning technology accumulated over decades of field expertise, and based on multiple big data, such as over 2.2 million actual cases of machinery fault diagnosis. The solution performs at a prediction accuracy of over 98% to forecast possible defects or failure in advance and with this provides means of proactive maintenance before breakdowns occur.
“For us at FutureMain, it’s really simple: we want to help our customers reduce equipment downtime and get ever closer to zero downtime in their facilities and operations,” said Lee Sun-hwi. «These investments are going to continue as we make sure the system is increasingly robust and secure and can support a wider variety of equipment world wide, he said.
In combination with its real-time, machine-learnt diagnostics, this enables rapid on-the-spot decisions and responses even for facility managers at reception.
The high flexibility of ExRBM within the current enterprise digital architectures and within the cloud and edge enable deploying management and operational efficiency even far beyond the classic time frame-based maintenance to an dynamic adaptive and data-based one.
