The goal of Predictive Maintenance is to prevent downtimes, reduce unplanned breakdowns and faults or predict the optimal maintenance time in order to increase the productivity and performance of machines and ultimately reduce the overall costs. Using artificial intelligence in the condition monitoring of Big Data and in the analysis of real-time data is the step into the future.
– 20% reduction in downtime
– 15% less disruption and downtime
+23% higher productivity
– 30% fewer maintenance costs
Next Level of Predictive Maintenance
Predictive Maintenance requires data from sensors, which might not always be available. Thus, future malfunctions or failures are not apparent through data. That’s why we also rely on the symbiotic approach. The expert worker with his knowledge about the production plant generates additional data via an HCI (Human-Computer Interface) and enriches the AI models to get even better results.
- Reduce downtimes
- Reduce malfunctions and failures
- Increase the service life of machines and systems
- Calculate optimal maintenance time using AI
- Improve operation, maintenance and machine planning
- Improved productivity and performance of machines
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We look forward to your questions on the use of artificial intelligence.
#predictive maintenance #manufacturing #deliverers
Machine and process data analysis directly on the production line in the area of transmission manufacturing to reduce downtime, optimize set-up processes, and predict end-of-line test results.
#condition monitoring #manufacturing #medical supply
Analysis using image recognition to detect malfunctions and failures at an early stage and improve operation planning, thereby increasing productivity and throughput on the entire production line.
#predictive quality #lifetime #logistics #expedition
Analysis from Big Data to predict the life cycle of vehicle and rail components in order to avoid failures directly during operation and to enable early replacement of components.
We use AI models which support data generation or analyze data in real time and deliver the corresponding results in order to derive measures at an early stage. The solution analyzes time series’, recognizes patterns, and interpretes images or log files. In addition, Natural Language Understanding (NLU) analyzes the input via the HCI.
Human Computer Interaction
Enable interaction between humans & computers in a satisfying way that likens human-to-human interaction as, for instance, in open dialogues.
Always be in the know which parts need your attention next, e.g. replacing. Don’t sweat over it and get the cumbersome details done by this AI model.
AI Image Classification
Automatically classify images according to a certain scheme in the blink of an eye. Use this skill to make time for the tasks that really matter to you.
AIOS – The “How”
Leftshift One’s AIOS (AI Operating System) software enables end-to-end Predictive Maintenance to be deployed 5 to 10 times faster. The system uses the necessary pre-configured AI models in the internal marketplace to perform real-time condition monitoring and data analysis. The software aims to monitor the production process 24/7 and to provide the necessary insights.