Classification and Recognition of Detecting Parameters for Cement Mill

摘要

In view of the complex milling process of cement raw material, aim at practical technological features of cement mill, all relative factors to process are measured and classified as faulty condition and normal condition. This article applies classification and recognition algorithm to detecting main parameters for cement mill, and then to judge the operating condition. In view of fault detect that bases on the signal to judge the trends of fault and give an alarm, the running patterns of system are built with an improved ART-2 cluster parsing algorithm under normal condition, carry on the correct recognition to the status of cement mill, in turn to take the right recognition of milling working condition.