Online vibration monitoring

Our team is really passionate about learning more and more about vibration. We think it’s so important to be able to judge the condition of components and devices as accurately as possible! We totally get it. Collecting and analyzing a ton of data for vibration analysis can be tough. We totally get it! When employees have to analyze a ton of information from different sources and devices, it can feel like it’ll take forever and be impossible to do.
In challenging operating conditions of equipment and mechanisms, we understand that it is more important to have time to analyze the information than to collect it. Sometimes there is a risk of not checking a specific parameter and missing an important deviation in the readings and axes of a particular vibration or movement change.
How can you help analysts who work with vibration? By connecting artificial intelligence to them, which will be trained in analysis and specific help and search.

Our team has demonstrated on numerous occasions that tailored machine learning technologies are effective in addressing repetitive tasks. In the context of vibration analysis, these technologies can swiftly analyze each vibration data point and determine whether it is within the normal range or indicative of an anomaly that requires analyst attention. When machine vision is employed, it can additionally monitor changes in an object’s state, such as when a vehicle leaves the asphalt. This further enhances the precision and efficiency of our AI-powered assembly process.

Please be advised that our decision will not be the final decision and will not replace a specialist. Vibration analysis is a new field that requires extremely fine-tuning, but our BOT4.AI is still in the process of developing this capability. Ultimately, the decision to turn off the machine or machine is up to the person. It is clear that the use of artificial intelligence solutions will enable your company’s analysts to make decisions more consciously and to stop machines or mechanisms much less often. The driving forces behind the development of these solutions are the need to improve both the economy and safety. (more details? hello@bot4.ai)