Predictive Maintenance Solutions
We use AI for condition monitoring of your machines in order to prevent downtimes!
What we do
craftworks develops tailor-made solutions for any kind of use case to optimize the performance of your machines. Our predictive maintenance solutions help to reduce equipment failures, machine downtimes and cost. Insights based on artificial intelligence and recommendations make maintenance more efficient for operators. It gives them better understanding for downtime causes and insight that can help prevent such incidents in future.
Predictive Maintenance Case Study
District heating network
Our client, a utility company owns one of the biggest district heating networks in Europe, consisting of thousands of converter stations. In these plants, water is being cooled before it is delivered to their customers.
Unplanned downtimes used to occur on a daily basis. Operators had to constantly replan scheduled maintenance to be available for the repair of broken machines, which makes it a highly inefficient process.
Our AI powered predictive maintenance solution does much more than common cmms software. Based on historical data, our machine learning algorithm predicts potential downtimes seven days in advance. Moreover, the solution finds unknown correlations between certain data sets and downtimes, which helps to understand what causes those downtimes.
Based on these insights, more efficient maintenance schedules can be set in order to avoid those downtimes. The knowledge of root causes can be used for fine tuning settings. This starts as a recommendation system and can gradually transfer to automated parameter setting.
In a first step, the team of the utility company and craftworks were sitting together in order to find out which problems should be tackled and to set goals. In this case, it was the inefficiency in the maintenance work that should be addressed.
After the use case was defined, the teams from both companies checked if there was enough quality data and got the first understanding of processes, parameters, and their values. In certain cases, it was necessary to use additional sensors from a trusted craftworks partner company.
In a next step, relations and patterns in sensor-, machine-, and process data were recognized and a machine learning model and architecture were developed.
At the end of the first phase, a simple software prototype was reviewed verifying the recommendations and identifying enhancements.
How you can work with us
A selection of our Industrial AI clients
With craftworks it was simple and uncomplicated. After an initial conversation, we could start a project within a short amount of time. While the data scientists at craftworks supported us in drawing valuable conclusions from our data, the close collaboration together with their domain experts made it possible to have fast results within a month.
Wien Energie, Head of Innovation and Strategic Projects