1994
DOI: 10.1016/0003-682x(94)90032-9
|View full text |Cite
|
Sign up to set email alerts
|

Adaptive filtering of sound pressure signals for monitoring machinery in noisy environments

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2003
2003
2018
2018

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 10 publications
(2 citation statements)
references
References 2 publications
0
2
0
Order By: Relevance
“…More recently, the use of adaptive filters has been applied to monitor bearings [18][19][20]. This concept is based on the Wold Theorem, in which the signal can be decomposed into deterministic and non-deterministic parts [21].…”
Section: Introductionmentioning
confidence: 99%
“…More recently, the use of adaptive filters has been applied to monitor bearings [18][19][20]. This concept is based on the Wold Theorem, in which the signal can be decomposed into deterministic and non-deterministic parts [21].…”
Section: Introductionmentioning
confidence: 99%
“…Most of the literature concerning automotive speedometers, such as reference [1], employs image processing methods for the inspection of systems. However, sound analysis has been reported for condition monitoring of a variety of systems such as machining operations [2], rolling element bearings [3], machinery in noisy environments [4] and uid dynamics [5]. This paper reports a novel low-cost approach for automated monitoring system and inspection of automotive speedometers that can be performed in the factory to ensure non-defective products.…”
Section: Introductionmentioning
confidence: 99%