Method and device for monitoring a yarn tension of a running yarn

A device for monitoring a yarn tension of a running yarn in a yarn treatment process, comprising:

• a yarn tension measuring unit having a yarn tension sensor and having a measurement signal pickup, and
• a yarn tension analysis unit having a fault graph generator,
• wherein the yarn tension analysis unit interacts with a diagnostic unit in such a way that a fault graph is analyzable using a machine learning program,
• wherein a known fault graph category or a new fault graph category is assigned to the fault graph, and
• wherein the diagnostic unit is connected to a machine control unit, by which a control command effectuates a direct intervention into the yarn treatment process.

A method for monitoring a yarn tension of a running yarn in a yarn treatment process, the method comprising:

• progressively measuring the yarn tension of the running yarn in the yarn treatment process to provide measurement signals identifying the yarn tension,
• comparing the measurement signals to at least one limiting value of a permissible yarn tension to detect an event of an impermissible tolerance deviation of the measurement signals,
• in response to the event of the impermissible tolerance deviation of the measurement signals, acquiring a short-term signal profile of the yarn tension as a fault graph of the yarn tension,
• analyzing the fault graph of the yarn tension using a machine learning program,
• based on analyzing the fault graph of the yarn tension, assigning the fault graph to one of a known fault graph category and a new fault graph category, and
• wherein after assignment of one of the fault graphs to one of the fault graph categories, a control command relating to the fault graph category effectuates a direct intervention into the yarn treatment process.