AI for Vibration Analysis – Viking Analytics

Creating an asset monitoring center for small and medium manufacturing companies

The term manufacturing company normally brings to mind images of large industrial plants with thousands of workers. However, small family-owned businesses make up the largest proportion of the sector.  According to AMT – The Association for Manufacturing Technology, 97% of the manufacturing firms in the United States have less than 500 employees, and 73% have

Read More...

Vibration monitoring of rotating machinery in ships – An AI4EU project

AI4EU is a European Union Artificial Intelligence project which aims to bring together the AI community and facilitate knowledge transfer from research to business application.  It provides an experiments platform that promotes the sharing and deployment of AI models.   In 2021, Viking Analytics has been selected by AI4EU as a solution provider in AI technologies.

Read More...

Detecting different fault locations on a bearing

Detecting and monitoring operational modes in a machine is a very effective way of getting a precise view of the asset’s health conditions. In a machine, different operational modes can reflect different usages, a production process, an on-off state, or a developing failure. But besides reflecting the overall state of the machine, Mode Identification can

Read More...

Maintenance companies and the next wave of industrial digitalization

With IIoT democratizing asset and process information for remote condition monitoring, the next grand battle in the PdM market will be between OEMs and maintenance companies.  The maintenance field has been greatly impacted by digitalization. As data collection and analysis capacities increased, companies were able to move from reactively performing maintenance in their equipment to

Read More...

Using Machine Learning to identify operational modes in rotating equipment

Vibration monitoring is key to performing condition monitoring-based maintenance in rotating equipment such as engines, compressors, turbines, pumps, generators, blowers, and gearboxes. However, periodic route-based vibration monitoring programs are not enough to prevent breakdowns, as they normally offer a narrower view of the machines’ conditions. Adding Machine Learning algorithms to this process makes it scalable,

Read More...

Times they are a-changin’ in predictive maintenance

Predictive maintenance, despite its measurable results and successes, has been suffering from lack of scalability. Models designed and trained for a given machine with a particular set of sensors often had to be retrained before being used with other similar machines. In addition, the quantity and variety of machines in a factory makes developing, training,

Read More...