Including new updates

Author: davidwillingham

.gitignore

@@ -0,0 +1,5 @@
+#   Copyright 2020 The MathWorks, Inc.
+
+AirCompressorData
+AirCompressorDataset.zip
+*.asv

AirCompressorDataset.rights

@@ -0,0 +1,11 @@
+License for Air Compressor Dataset Repository
+Copyright 2016 Nishchal K. Verma, R. K. Sevakula, S. Dixit and A. Salour
+
+Redistribution and use of this dataset, with or without modification, are permitted provided that the following conditions are met:
+1.	Redistribution in any form must retain the above copyright notice, this list of conditions and the following disclaimer.
+
+2.	Redistribution and use in any form must be accompanied by the following citation: 
+
+Nishchal K. Verma, R. K. Sevakula, S. Dixit and A. Salour, Intelligent Condition Based Monitoring using Acoustic Signals for Air Compressors, IEEE Transactions on Reliability, vol. 65, no. 1, pp. 291-309, 2016.
+
+THIS DATASET IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS DATASET, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

Aircompressorclassification.prj

@@ -0,0 +1,2 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<MATLABProject xmlns="http://www.mathworks.com/MATLABProjectFile" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" version="1.0"/>

HelperFiles/DownloadData.m

@@ -0,0 +1,28 @@
+%   Copyright 2020 The MathWorks, Inc.
+
+dataZip = "AirCompressorDataset.zip";
+url = "https://www.mathworks.com/supportfiles/audio/AirCompressorDataset/AirCompressorDataset.zip";
+dataFolder = "AirCompressorData";
+
+disp("Checking for dataset...");
+
+if ~isfolder(dataFolder)
+    answer = questdlg("Do you want to download the dataset now?","Dataset not found","Yes","No","Yes");
+    
+    switch answer
+        case "Yes"
+            if ~isfile(dataZip)
+                outFile = websave(dataZip,url);
+                disp("Data zip file saved as " + outFile);        
+            end
+
+            disp("Unzipping data file...");
+            unzip(dataZip, dataFolder);
+            disp("Data unzipped successfully.");
+        case "No"
+            disp("Dataset not downloaded. You will need to download the dataset to run the example. Please run DownloadData.")
+    end
+else
+    disp("Dataset found.");
+end
+    

HelperFiles/OpenCodegenReport.m

@@ -0,0 +1,8 @@
+%   Copyright 2018-2020 The MathWorks, Inc.
+
+function OpenCodegenReport
+
+prj = currentProject;
+open(fullfile(prj.RootFolder,'arm_compute','html','report.mldatx'));
+
+end

HelperFiles/OpenPart1.m

@@ -0,0 +1,3 @@
+%   Copyright 2020 The MathWorks, Inc.
+
+edit Part01_DataPreparation.mlx

HelperFiles/OpenPart2.m

@@ -0,0 +1,3 @@
+%   Copyright 2020 The MathWorks, Inc.
+
+edit Part02_Modeling.mlx

HelperFiles/OpenPart3.m

@@ -0,0 +1,3 @@
+%   Copyright 2020 The MathWorks, Inc.
+
+edit Part03_Deployment.mlx

HelperFiles/extractFeatures.m

@@ -0,0 +1,48 @@
+%   Copyright 2020 The MathWorks, Inc.
+
+function features = extractFeatures(audioIn,fs)
+    
+    %#codegen
+    
+    persistent stf F winPower
+
+    if(isempty(stf))   
+        % Setup a short time fourier transform object
+        FFTLength = 512;
+        windowLength = 512;
+        hopLength = 512;
+        win = hamming(windowLength,'periodic');
+        winPower =  2/(sum(win)^2);
+        stf = dsp.STFT(win,windowLength-hopLength,FFTLength);
+        [~,temp] = stft(zeros(windowLength,1),fs,'Window',win,'OverlapLength',windowLength-hopLength,'centered',false);
+        F = temp(1:257);
+    end
+
+    Xcomp = stf(audioIn);
+    Xcomp= Xcomp(1:257,:);
+    
+    % Get power spectrum
+    X = real(Xcomp.*conj(Xcomp));
+    
+    % Normalize by window power 
+    X = X .* winPower;
+    
+    X(1,:) = 0.5*X(1,:);
+    X(end,:) = 0.5*X(end,:);
+
+    S1 = spectralCentroid(X,F);
+    S2 = spectralCrest(X,F);
+    S3 = spectralDecrease(X,F);
+    S4 = spectralEntropy(X,F);
+    S5 = spectralFlatness(X,F);
+%     S6 = spectralFlux(X,F);
+    S7  = spectralKurtosis(X,F);
+    S8  = spectralRolloffPoint(X,F);
+    S9  = spectralSkewness(X,F);
+    S10 = spectralSlope(X,F);
+    S11 = spectralSpread(X,F);
+
+    features = [S1 S2 S3 S4 S5 S7 S8 S9 S10 S11];
+
+end
+

HelperFiles/reloadDatastore.m

@@ -0,0 +1,9 @@
+%   Copyright 2020 The MathWorks, Inc.
+
+% Recreate the datastore again
+
+dataFolder = 'AirCompressorData';
+ads = audioDatastore(dataFolder,'IncludeSubfolders',true,'LabelSource','foldernames');
+rng(3);
+ads = shuffle(ads);
+[adsTrain,adsValidation] = splitEachLabel(ads,0.9,0.1);