2016
DOI: 10.3390/s16050632
|View full text |Cite
|
Sign up to set email alerts
|

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

Abstract: 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 an abnormal alarm strategy based on acquired historical sensor-dependent vibration data is proposed for implementing condition-based maintenance for this type of equipment. Firstly, three group dependent sensors are … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2019
2019
2023
2023

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(2 citation statements)
references
References 36 publications
0
2
0
Order By: Relevance
“…Using chaos theory, some researchers have carried out the motor fault diagnosis [27][28]. Moreover, the fault diagnosis based on chaos theory is also applied in some other machines such as hydraulic tube tester [29], solar photovoltaic systems [30], noisy wired networks [31], power capacitor [32], three-level T-type inverter [33], wastewater treatment plant [34], centrifugal booster fans [35]. Because the reported study shows that the blade rubbing fault exhibits significant nonlinear features [36], chaos theory could be used to improve the identification accuracy of this kind of nonlinear fault.…”
Section: Introductionmentioning
confidence: 99%
“…Using chaos theory, some researchers have carried out the motor fault diagnosis [27][28]. Moreover, the fault diagnosis based on chaos theory is also applied in some other machines such as hydraulic tube tester [29], solar photovoltaic systems [30], noisy wired networks [31], power capacitor [32], three-level T-type inverter [33], wastewater treatment plant [34], centrifugal booster fans [35]. Because the reported study shows that the blade rubbing fault exhibits significant nonlinear features [36], chaos theory could be used to improve the identification accuracy of this kind of nonlinear fault.…”
Section: Introductionmentioning
confidence: 99%
“…[31] investigated the effects of cracks on the resonance characteristics. As a continuation of Wang et al's research, Chen et al [32] proposed the quantitative identification method for blade crack faults in the centrifugal impeller based on the historical sensor-dependent vibration data. When calculating the forced response in the numerical simulation parts of their research, the engine order excitation was only applied on the main blades.…”
Section: Introductionmentioning
confidence: 99%