Benefits of Artesis technology
INDUSTRY 4.0
Take your maintenance to the next level by ensuring uninterrupted production. Ensure the reliability of your machines
PREDICTIVE MAINTENANCE
Effortless monitoring with simple, easy-to-interpret information. “Traffic light” style warning systems and automatic delivery of fault information to HMI (human-machine interface) and emails.
COMPREHENSIVE FAULT COVERAGE
Detection and diagnosis of electrical, mechanical, operational and energy-related failures. The only solution for inaccessible, dangerous and difficult to access applications
HIGH RETURN ON INVESTMENT
Productivity increase of up to 5%; up to 4% energy savings; up to 50% reduction in maintenance costs; up to 10% by avoiding layoffs and prolonging the useful life of the equipment.
FAULT DETECTION ACCURACY
Proven Accuracy - Identifies and performs appropriate maintenance actions with greater than 90% accuracy.
EARLY FAULT DETECTION
Detection of failures 6 months in advance. Even before problems arise, such as abnormal vibrations, heat or acoustics
High-performance and more efficient factories
Don't miss out on the digital transformation. Easily adapt to Industry 4.0!
Leaders in digital transformation
Can you guess when machines fail? Artesis prevents your production from being interrupted thanks to the solutions provided by predictive maintenance.
Considering the aggressive time-to-market required for pharmaceutical products
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Artesis Technology Blog
5 Key Advantages of Condition Monitoring in Belt Systems
Mining is a rather complex industry with equipment, risks, safety concerns, and labor-intensive work. The installation and maintenance of mining […]
Condition-Based Maintenance Strategy in 5 Steps
Choosing the right maintenance strategy is essential for improved reliability and availability of rotating equipment for more sustainable and profitable […]
Condition Monitoring for Submersible Pumps
Condition monitoring poses a real challenge for hard-to-access equipment such as submersible pumps. It is crucial to use innovative and […]
