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ifm statmath gmbh Logo

Product

s.quality

AI based product quality and system condition assessment during production

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Product

s.quality

AI based product quality and system condition assessment during production

Description

Our innovative software s.quality processes your data already during ongoing production and evaluates it using artificial intelligence. s.quality permanently monitors your recurring processes and measurement operations, detecting any faults or deviations from the standard process at an early stage. An extremely high data resolution of up to 1 MHz can be processed. With our software solution, our customers are optimally equipped for quality assurance and monitoring in all process and production stages. By using s.quality, you can boost your production performance while reducing the failure rate in order to assure highest production quality. Our software solution helps you complete your tasks even more efficiently and precisely, and identify and correct faults in time. s.quality uses artificial intelligence (AI) to identify deviations in the production process. A model is trained with historical data to detect any abnormal behaviour in new data sets. Self-learning statistical methods are used to identify a standard structure for each test channel. If the profile of a measured value deviates significantly from the dynamic tolerance threshold defined by the user, the anomalies are documented as errors and analysed. Only very few settings are required to obtain a clear and instant overview of all measured values and any faulty products, components or processes. Machine learning makes it possible to adapt this procedure to defined standard processes. s.quality can also be integrated into the manufacturing process and automatically communicate the condition of the inspected product or monitored process to the machine control.

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Keywords:

quality monitoring, AI, Artificial Intelligence, process monitoring, machine learning, software, production quality, ai quality monitoring, statmath, ifm statmath, ifm


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UseCase: Intelligent pump monitoring using artificial intelligence

Use Case

Intelligent pump monitoring using artificial intelligence

automotive supplier, paper, aerospace, food, beverage

The supply pump is one of the central components of many plants. It ensures fluid circulation through the entire system. Damage to this pump will result in the failure of the entire plant – this must be avoided at all costs. In this specific case, the pump is operated at various speeds, which makes static monitoring more difficult. Artificial intelligence can be used in a targeted manner here: AI simplifies pump monitoring while increasing the efficiency of the entire process. Process deviations (anomalies) are detected early and downtime is minimised.