Congestion-aware probe selection for fault detection in networks

2018 ◽  
Author(s):  
Anuja Tayal ◽  
Neminath Hubballi ◽  
Maitreya Natu ◽  
Vaishali Sadaphal
Keyword(s):  
Fault Detection ◽  
Probe Selection ◽  
Selection For ◽  
Congestion Aware

scholarly journals Correction to: Traffic Dynamics-Aware Probe Selection for Fault Detection in Networks

2020 ◽  
Vol 28 (4) ◽  
pp. 1085-1085
Author(s):  
Anuja Tayal ◽  
Neha Sharma ◽  
Neminath Hubballi ◽  
Maitreya Natu
Keyword(s):  
Fault Detection ◽  
Traffic Dynamics ◽  
Probe Selection ◽  
Selection For

Feature Selection for Audio-Based Fault Detection in Pumps

2020 ◽  
Author(s):  
Victor O. Adegboye ◽  
Jason H. Rife
Keyword(s):  
Fault Detection ◽  
Ambient Noise ◽  
Area Under The Curve ◽  
Mel Frequency Cepstral Coefficients ◽  
Common Features ◽  
Performance Metric ◽  
Audio Recordings ◽  
Selection For ◽  
Industrial Machine

Abstract Whilst extensive work has been done on fault detection in bearings using sound, very little has been accomplished with other machine components and machinery partly due to the scarcity of datasets. The recent release of the Malfunctioning Industrial Machine Investigation and Inspection (MIMII) dataset opens the opportunity for research into malfunctioning machines like pumps, fans, slide rails, and valves. In this paper, we compare common features from audio recordings to investigate which best support the classification of malfunctioning pumps. We evaluate our results using the Area Under the Curve (AUC) as a performance metric and determine that the log mel spectrum is a very useful feature, at least for this dataset, but that other features can enhance detection performance when ambient noise is present (improving AUC from 0.88 to 0.94 in one case). Also, we find that mel Frequency Cepstral Coefficients (MFCC) perform substantially poorer as features than a sampled mel spectrogram.

scholarly journals Information theoretical probe selection for hybridisation experiments

2000 ◽  
Vol 16 (10) ◽  
pp. 890-898 ◽  
Author(s):  
R. Herwig ◽  
A. O. Schmitt ◽  
M. Steinfath ◽  
J. O'Brien ◽  
H. Seidel ◽  
...  
Keyword(s):  
Probe Selection ◽  
Selection For

scholarly journals Probe selection for high-density oligonucleotide arrays

2003 ◽  
Vol 100 (20) ◽  
pp. 11237-11242 ◽  
Author(s):  
R. Mei ◽  
E. Hubbell ◽  
S. Bekiranov ◽  
M. Mittmann ◽  
F. C. Christians ◽  
...  
Keyword(s):  
High Density ◽  
Oligonucleotide Arrays ◽  
Probe Selection ◽  
Selection For

scholarly journals Empirical Evaluation of Oligonucleotide Probe Selection for DNA Microarrays

PLoS ONE ◽  
2010 ◽  
Vol 5 (3) ◽  
pp. e9921 ◽  
Author(s):  
Jennifer G. Mulle ◽  
Viren C. Patel ◽  
Stephen T. Warren ◽  
Madhuri R. Hegde ◽  
David J. Cutler ◽  
...  
Keyword(s):  
Dna Microarrays ◽  
Oligonucleotide Probe ◽  
Empirical Evaluation ◽  
Probe Selection ◽  
Selection For

scholarly journals RESEARCH PAPER A stable density approach to probe selection for a custom aCGH design

2011 ◽  
Vol 3 ◽  
pp. 283-295
Author(s):  
Tomasz Gambin ◽  
Paweł Stankiewicz ◽  
Anna Gambin
Keyword(s):  
Research Paper ◽  
Probe Selection ◽  
Selection For
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