Abstract
Due to the multi-condition characteristic of tobacco ultrahigh-speed cellophane sealing machine, the existing fault monitoring method can't meet the need of efficient cigarette production. Based on the analyzing the running characteristics, a fault monitoring and diagnosis approach method of ultrahigh-speed cellophane sealing machine was proposed to solve several key points, such as condition partition of offline data, monitoring modeling for steady condition, online monitoring of multi-condition process, and causal variable isolation of abnormal situation. Testing results based on actual operation data show that, the proposed method has good adaptability to running condition variations, and can more timely and effectively detect fault and separate fault cause variable.
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