Abstract: An electronic device and associated method are used to detect a fault in a spinning mill and to estimate one or more sources of the fault, the spinning mill including a plurality of textile machines that sequentially process textile materials. With the electronic device, the method receives parameter information of one or more of the textile machines and of one or more of the textile materials. The electronic device detects faults and location of the faults by identifying parameter information of the textile materials deviating from reference information. The electronic device is used to access configuration information of the textile machines and knowledge-based information related to possible sources of faults in the spinning mill. The method incudes using the electronic device to apply parameter information, configuration information, and knowledge-based information to one or more machine-learning algorithms to estimate the sources of the faults.

Abstract: A method and associated system are provided for predictive maintenance of a textile machine that has a plurality of sensors configured therewith. A reference value is defined for each sensor, and the reference values are stored in a data base. Each sensor is read during the operation of the textile machine and a signal from each sensor is correlated with the stored reference value for the sensor. An alert or warning is generated to an operator of the textile machine when the correlated signal from one or more of the sensors shows a data irregularity.