Spectrum analysis of acoustic signals for cavitation detection

Al-Hashmi, Salem. A.

doi:10.1109/isiea.2012.6496652

Cited by 8 publications

(8 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The use of frequency domain spectral features has proved to be particularly useful when there are a variety of different noise generation mechanisms in a system, such as in manufacturing machinery 17 , processing systems including boilers and heat exchangers, and in turbo-machinery fault diagnosis 18 . If defined appropriately, the frequency-related features and signatures for the acoustic signal are very effective in terms of "event" or source extraction and their use for discrimination and classification purposes.…”

Section: Spectral Metrics and Analysis Of Acoustic Signaturesmentioning

confidence: 99%

NDE in-process for metal parts fabricated using powder based additive manufacturing

Bond

Koester

Taheri

2019

Smart Structures and NDE for Energy Systems and Industry 4.0

View full text Add to dashboard Cite

Ensuring adequate quality for additive manufactured (AM) materials presents unique metrology challenges to the on-line process measurement and nondestructive evaluation (NDE) communities. AM parts now have complex forms that are not possible using subtractive manufacturing and there are moves for their use in safety criticality components. This paper briefly reviews the status, challenges and metrology opportunities throughout the AM process from powder to finished parts. The primary focus is on new acoustic signatures that have been demonstrated to correlate process parameters with on-line measurement for monitoring and characterization during the build. In-process, quantitative characterization and monitoring of material state is anticipated to be potentially transformational in advancing adoption of metal AM parts, including offering the potential for early part rejection, part condition guided process control or even potentially in-process repair. This approach will enable more effective deployment of quality assessment metrology into the layer-by-layer material build with designed morphology. In this proof-of-concept study acoustic-based process monitoring signals were collected during the Direct Energy Deposition (DED) AM process with different process conditions to investigate and determine if variations in process conditions can be discriminated. A novel application of signal processing tools is used for the identification and use of metrics based on temporal and spectral features in acoustic signals for the purpose of in-situ monitoring and characterization of conditions in an AM process. Results show that the features identified in signatures are correlated with the process conditions and can be used for classifying different states in the process.

show abstract

Section: Spectral Metrics and Analysis Of Acoustic Signaturesmentioning

confidence: 99%

NDE in-process for metal parts fabricated using powder based additive manufacturing

Bond

Koester

Taheri

2019

Smart Structures and NDE for Energy Systems and Industry 4.0

View full text Add to dashboard Cite

show abstract

“…Traditionally, vibration, 4–6 thermal, 7 pressure, 8,9 and acoustic levels 10,11 have been considered as measuring indicators of pumps’ real-time status. Operation monitoring and fault detection for centrifugal pumps in industrial plants are basically realized in data-acquisition systems formed by various types of invasive sensors, which would bring great installation troubles and highly raise the maintenance cost.…”

Section: Introductionmentioning

confidence: 99%

Operation diagnosis for centrifugal pumps using stator current-based indicators

Han

Yuan

Luo

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part C:

View full text Add to dashboard Cite

Motor current signature analysis (MCSA) used in the diagnosis of centrifugal pumps has become a hot topic due to its non-intrusive and cost-effective nature. Yet, traditional current-based diagnosis methods show limitations as massive computation and power frequency interference. Moreover, most of them focus on the fault detection, fewer discuss the applications in operation evaluation. Therefore in this article, the hydro-mechanical-electric coupling effect that exists in the induction motor-centrifugal pump system is analyzed systematically. On this foundation, novel indicators that can reflect the harmonic distortion and noise proportion of stator current signals, and further indicate the hydraulic stability and operation status are proposed. Theoretical and experimental analysis support this paper, and results have demonstrated that our proposed indicators can indicate the operation change, identify the optimal operation region, and reflect the development of cavitation for centrifugal pumps. These indicators have the advantages of easy calculation and identification, therefore can be conveniently compared with accepted standards and enable immediate remedial actions to be implemented to ensure the stable operation.

show abstract

“…The collapse and implosion of the vapour bubbles result in shock pressure waves that excite a wide range of frequencies and make discernible the development of the phenomenon in the spectrum [9,[11][12][13][14][15][16][17][18][19][20]. In order to quantify these excitations, some authors calculate the power content in different bands of the spectrum and plot the results as function of cavitation development [4,11,14,[18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34]. Interestingly, the majority of the published works notice an increase of the noise and vibration power content in these signals close to the visual inception of the phenomenon, and show that this approach can be used towards the prompt detection of cavitation before total head collapse.…”

Section: Introductionmentioning

confidence: 99%