Chatter detection using principal component analysis in cold rolling mill

• Autorzy: Usmani N. I. , Kumar S. , Velisatti S. , Tiwari P. K. , Mishra S. K. , Patnaik U. S.

Identyfikatory

DOI

10.29354/diag/81692

• Języki publikacji: EN

Abstrakty

EN

Most cold rolling mills are prone to chatter problem. Chatter marks are often observed on the strip surface in cold rolling mill leading to downgrade and rejection of rolled material. Chatter impact product quality as well as productivity of mill. In absence of online chatter detection no corrective action can be taken immediately and whole campaign gets affected. Most conventional approach for online chatter detection is by using vibration measurement of mill stands in time & frequency domain. Present work proposes two approaches to detect chatter in cold rolling mill using a statistical technique called Principal Component Analysis (PCA). In this paper two methods are used for chatter detection. First method applies PCA on Fast Fourier Transform (FFT) to differentiate between chatter and non-chatter condition. Second method applies PCA on statistical parameters calculated from raw vibration data to detect chatter.

Słowa kluczowe

EN

chatter; principal component analysis; PCA; cold rolling; vibration

PL

drgania samowzbudne; analiza składowych głównych; walcowanie na zimno; drgania

• Wydawca: Polskie Towarzystwo Diagnostyki Technicznej
• Czasopismo: Diagnostyka
• Rocznik: 2018
• Tom: Vol. 19, No. 1
• Strony: 73--81
• Opis fizyczny: Bibliogr. 16 poz., rys., tab.

Twórcy

autor

Usmani N. I.

• Tata Steel Ltd, Jamshedpur, India

autor

Kumar S.

• Tata Steel Ltd, Jamshedpur, India

autor

Velisatti S.

• Tata Steel Ltd, Jamshedpur, India

autor

Tiwari P. K.

• Tata Steel Ltd, Jamshedpur, India

autor

Mishra S. K.

• Tata Steel Ltd, Jamshedpur, India

autor

Patnaik U. S.

• Tata Steel Ltd, Jamshedpur, India

Bibliografia

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).