Category: Artesis

Predictive maintenance (PdM) is a technique that uses data analytics and machine learning to foresee problems with equipment before they occur. The PdM allows companies to take..

There is no denying that digitalizing predictive maintenance has many benefits, and one such advantage is the improvement of asset management. After all, digital technologies allow enterprises to achieve..

Register today to learn the fastest growing comprehensive condition monitoringsystem for rotating equipment. Join us on October 13 at 9 AM EST and learn ; How Artesis solutions..

According to the survey of A. Bonnett and C. Yung, the most common cause of electric motor failure is bearing issues accounting for 51% of total failure. ⏳..

Register today to learn how you can quickly test your rotating equipment from motor control panel and get an instant condition assessment report. In this webinar, we..

Industries have to re-evaluate and re-interpret their maintenance and production processes in line with the digitalization experienced in the last 10 years. This rapid change and transformation are..

Model based condition monitoring systems are based on mathematical models of the equipment’s operation to calculate, based on the measured data, the time and frequency of equipment failures…

There is no denying the fact that renewable energy is the future. According to the International Energy Agency, renewable energy in 2024 will make up 30 percent of..

Rotating equipment is an essential part of any process/chemical/fertilizer/oil & gas or power plant and has a versatile role in operations and productivity. Due to massive rotation/use,..

When monitoring the condition of rotating equipment, one of the easily overlooked problems is electrical connection looseness. The Artesis e-MCM has detected the loose wire connections on..