- Wear Analysis


Wear analysis allows you to predict when critical equipment or infrastructure needs to be maintained before it becomes a problem.

Based on historical data, models can determine when equipment or other materials need to be inspected using data from the objects on which wear is to be predicted.

Requirements for wear analysis

We will need access to your data in order to make a wear analysis. It can either be done in our offices by having the data delivered or by taking it out to you to make the model from your computer if it is very sensitive information.

Also, it is imperative that enough data is collected from the machine in question for the model to identify a pattern. You can never be sure if there are enough data, and often you only discover it when you try to make a model. When there is not enough data, we help collect it so that the quality of the data is also suitable for machine learning.

Technical possibilities for wear analysis

The final product is an AI / ML model that uses time series analysis to determine whether a machine requires maintenance.

It is possible to set up the model locally on your computers so you have it in the store. This will require that you can run a Python server, from which you can send data to get the answer.

We can also set it up as an API in connectors for over the net. This will make maintenance easier and also ensure that you do not have to keep track of a Python server yourself.

The process regarding wear analysis

Q-analytics process when we make a Wear and tear prediction model is:

  • Initial meeting
  • Workshop
  • Data is accessed
  • Model generation
  • Result / handover

Initial meeting

We will discuss the considerations you have and what you hope to gain from the model during the introductory meeting. We will provide input and advice along the way so we can understand your needs and the culture of your business. Also, we will discuss how the model should be integrated into your systems, as this needs to be taken into account from the beginning.


During the workshop, we focus on the technical aspects of model generation and its integration with your systems. We have already determined scope and are now focusing on how to implement it. Also, we will go over your data to see what exactly needs to be done. We will get a review of it so that any questions we have can be clarified.

Data is accessed

We get access to the data here so that we can build the model for you. We normally handle data processing in our office, but if your data is so sensitive that it cannot leave your premises, we can easily agree to generate the models with you.

Model generation

Based on the workshop instructions, we generate the model. Additionally, we produce graphs and reports that explain how the model performs so that you know exactly what you're getting.

Result / handover

We hand over the model to you and help you integrate it into your systems as well as present you with the results.