Quantitative Index and Abnormal Alarm Strategy Using Sensor-Dependent Vibration Data for Blade Crack Identification in Centrifugal Booster Fans

Quantitative Index and Abnormal Alarm Strategy Using Sensor-Dependent Vibration Data for Blade Crack Identification in Centrifugal Booster Fans

Centrifugal booster fans are important equipment used to recover blast furnace gas (BFG) for generating electricity, but blade crack faults (BCFs) in centrifugal booster fans can lead to unscheduled breakdowns and potentially serious accidents, so in this work quantitative fault identification and a...

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Bibliographic Details
Main Authors: Jinglong Chen, Hailiang Sun, Shuai Wang, Zhengjia He
Format: Article
Language:English
Published: MDPI AG 2016-05-01
Series:Sensors
Subjects:
fault diagnosis
blade crack
vibration signal analysis
quantitative identification
centrifugal booster fan
Online Access:http://www.mdpi.com/1424-8220/16/5/632

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