Making complex time series usable

The AI Time Series Suite brings artificial intelligence to where it creates real added value – directly into production. In times of growing variant diversity, increasing quality requirements and limited expert resources, traditional analysis methods are reaching their limits. The AI Time Series Suite helps companies to make complex time series data usable through automated pattern recognition and indications of causes.

Live in Action: No Code AI

Focus: Increasing overall system effectiveness

Avoidance of errors
in ramp-up and inline production

Cost savings
due to lower
external maintenance costs

Higher product quality
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More efficient production processes

Expansion of AI expertise in production

Strengthening the continuous improvement process

AI development: AI Time Series Suite

The challenge

The goal of every plant or production manager is smooth production and high product quality. If errors or machine downtimes occur more frequently, it is crucial to identify the causes quickly in order to avoid rework and downtime costs. As experienced specialists are not always available and the increasing complexity of products and processes presents a challenge even for experienced specialists, automated analyses based on existing data are becoming increasingly important. It is important to first understand the data and to quickly and easily check its suitability for machine learning. As data scientists are rare and expensive, solutions are needed that also work without in-depth expert knowledge.

The implementation

The AI Time Series Suite for Production (TSP) is an interactive software with flexible functional modules that has been specially developed for production experts – and not for data scientists. It supports users directly in the continuous improvement process, whether in the production unit, the production cell or in the office, to improve product quality and the runtimes of production units in a targeted manner. The user can import time-dependent production data into the TSP software, describe and summarize it. Using a generated feature ranking, he can recognize which factors are important, which supports him in deriving measures.

The result

The no-code solution creates the basis for the professional and automated continuous use of machine learning models in production, which can significantly reduce rework and downtime costs. The application can also be used in brownfield environments without the involvement of data scientists.

FAQs

Typical users of the No-Code AI Suite are project and process engineers with a basic understanding of artificial intelligence. IT and data managers can also provide support without AI knowledge if required.

Relevant input data can be, for example, process, sensor, movement, material flow or vehicle data. This data must be available in tabular form.

The result model generated by machine learning can be exported and made available for further use. Particular attention was paid to the integration capability in the Siemens Edge Solution environment.

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