Provided are a first measurement apparatus that measures the stable isotope ratios of a carbon element and a hydrogen element contained in hair of animal, and a verification device having a database including first reference data for the stable isotope ratios of the carbon element and the hydrogen element, which are classified for each production area of the hair of the animal, in which the first measurement apparatus measures the stable isotope ratios of the carbon element and the hydrogen element contained in the hair of the animal to be measured, and the verification device compares the measurement result of the first measurement apparatus with the first reference data, and determines the production area of the hair of the animal to be measured based on the comparison result.

Embodiments disclosed herein include system and methods for monitoring synthetic ropes for damage. One embodiment may include a synthetic rope with non-conductive fibers and conductive fibers. The conductive fibers may include a conductive core and a non-conductive sheath surrounding the conductive core. The conductive fibers may be grouped and terminated to form an electrical termination point. Additionally, an electronic reader may be configured to make contact with the electrical termination point to measure the electrical resistance of the synthetic rope.

A method for monitoring a texturing process for producing crimped threads is presented, in which a thread tension is measured continuously on the textured thread and in which the thread tension measuring signals are captured and analyzed continuously, at least in one time interval, characterized in that a sequence of the thread tension measuring signals occurring in the time interval is analyzed with a machine learning program for the early diagnosis of one of a plurality of fault sources.

The present disclosure provides a system, apparatus and method for generating randomly aligned fiber beards for evaluation. The system comprises abase and an x-axis frame member couples to and is positioned parallel to the base. A y-axis frame member is couple to and positioned perpendicular to the base. A sample plate is removably coupled to the y-axis frame member and defines one or more holes. A fiber clamp couples to and is movable by the x-axis frame member perpendicularly to the sample plate.

Disclosed are fibers which contain identification fibers. The identification fibers can comprise one or more chemical markers, or taggants, which may vary among the fibers or be incorporated throughout all of the fibers. The disclosure also relates to the method for making and characterizing the fibers. Characterization of the fibers can include identifying chemical markers and correlating the chemical markers and a taggant chemical marker amounts of at least one of the chemical markers to manufacturer-specific taggants to determine supply chain information. The supply chain information can be used to track the fibers from manufacturing through intermediaries, conversion to final product, and/or the consumer.

The invention relates to a method for monitoring the quality of a yarn on a textile machine, wherein the yarn passes a monitoring unit of the textile machine, with the aid of which at least one measured variable (M) which is dependent on a physical parameter of the yarn is determined, and wherein the measured variable (M), or a variable derived therefrom, is evaluated with respect to the position thereof with regard to at least one reference value (R). According to the invention, it is proposed that the selection of the reference value(s) (R) takes place taking into account one or more characteristic variables of the yarn, said characteristic variables being yarn-specific and defined prior to evaluating the measured variable (M). Furthermore, a textile machine is proposed which comprises at least one monitoring unit for monitoring at least one physical parameter of the yarn, and at least one controller which is operatively connected to the monitoring unit. The textile machine is characterized in that the controller is configured to monitor the yarn quality according to one or more of the preceeding claims.

A device for contactless measurement of one or more parameters of a linear textile formation (e.g., yarn) includes a yarn sensor with at least two mutually independent detection zones for one or a combination of the parameters of yarn presence, yarn movement, or yarn quality. The individual detections zones are arranged in defined positions relative to at least two different yarn paths of the yarn at a workstation depending on changed states of the yarn at the workstation so that at least one of the parameters is measured in each of the detections zones.

Techniques are directed to a method and a device for monitoring a yarn tension of a running yarn in a yarn treatment process. To this end, the yarn tension of the yarn is continuously measured and the measurement signals for the yarn tension are compared with a threshold value of an admissible yarn tension. In the event of an inadmissible tolerance deviation of the measurement signals, a short-term signal path of the yarn tension is detected as a fault graph. In order to enable a fault diagnosis, the fault graph of the yarn tension is analyzed using a machine learning program. The fault graph is then allocated to one of the existing fault categories or to a new fault category. A device for this purpose may include a diagnosis unit, which cooperates accordingly with the yarn tension evaluation unit.

The present invention relates to a method and apparatus for whiteness measurement and/or staining control of filaments.

Disclosed are fibers which contain identification fibers. The identification fibers can comprise one or more chemical markers, or taggants, which may vary among the fibers or be incorporated throughout all of the fibers. The disclosure also relates to the method for making and characterizing the fibers. Characterization of the fibers can include identifying chemical markers and correlating the chemical markers and a taggant chemical marker amounts of at least one of the chemical markers to manufacturer-specific taggants to determine supply chain information. The supply chain information can be used to track the fibers from manufacturing through intermediaries, conversion to final product, and/or the consumer.