Remaining Usefull Time - Predict RUL not working on ThingSpeak

I can succesfulkly run the code on Matlab but ,it shows error while running on ThingSpeak.

I really dont understan whats wrong, can you help me

error i am getting on Thingspeak Matlab Analysis

Warning: While loading an object of class 'linearDegradationModel':
Unrecognized field name "AlphaLevel". 
> In MATLABAnalysis>getValues (line 50)
In MATLABAnalysis (line 34) 
Error using rulModel/predictRUL (line 269)
Operands to the logical and (&&) and or (||) operators must be convertible to logical scalar values.

Error in MATLABAnalysis>getValues (line 62)
            [estTTS, CITTS, pdfTTS] = predictRUL(T.mdl{failureMode},[-NaN healthIndicator],threshold);

Error in MATLABAnalysis (line 34)
[estTTS,healthIndicator,threshold,EmailAlertFlag] = getValues(features, out,dropBoxAccessToken, IFTTTURL, secondChID,thresholdTTS,labels,secondReadAPIKey) %Get the others values to be written on
second channel
 

[Christopher Stapels]

You will nned to provide the code or at least part ot it. It seems that the variable 'AlphaLevel' is not able to be found. Does your MATLAB workspace have this variable?

We are definitely really interested in predictive maintenance work on ThingSpeak. Can you tell us more about your project?

[Aniket Manjare]

Sure,

Well My project is Condition based predictive Maintenece of Motor by Vibration signal Analysis tecniques. our aim is to real time fault identification and predict the threshold before that need to be taken action by maintenece team.

function [estTTS,healthIndicator,threshold,EmailAlertFlag] = getValues(features, out,dropBoxAccessToken, IFTTTURL, secondChID,thresholdTTS,labels,readKey)
    if(out == 0 || out == 1) %Don't need Predictive Maintenance during normal operation
        estTTS = NaN; 
        healthIndicator = NaN;
        threshold = NaN;       
    else 
        rawdata = downloadFromDropbox(dropBoxAccessToken,'Fan TTS Model.mat');
        f = fopen('Fan TTS Model.mat','w');
        fwrite(f,rawdata);
        fclose(f);
        T = load('Fan TTS Model.mat');
        failureMode = out - 1 ;%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%1 to 0 then dutct block work
        if(out ==2)
            failureMode = 2;
        else
             failureMode = out - 1;
        end
        
        if(length(T.selectedFeatures{failureMode})==1)
            healthIndicator =  table2array(features(:,T.selectedFeatures{failureMode}));
            threshold = T.threshold{failureMode};
            [estTTS, CITTS, pdfTTS] = predictRUL(T.mdl{failureMode},[-NaN healthIndicator],threshold); 
            estTTS = estTTS*T.conversion{failureMode}; 
            CITTS = CITTS*T.conversion{failureMode};
            pdfTTS.TTS = pdfTTS.RUL*T.conversion{failureMode};
        else
            selectedFeatures = features(:,T.selectedFeatures{failureMode});
            healthIndicator = (selectedFeatures{:,:} - T.meanTrain{failureMode}) ./ T.sdTrain{failureMode} * T.pcaCoeff{failureMode}(:, 1);
            threshold = T.threshold{failureMode};
            [estTTS, CITTS, pdfTTS] = predictRUL(T.mdl{failureMode},[-NaN healthIndicator],threshold); 
            estTTS = estTTS*T.conversion{failureMode};
            CITTS = CITTS*T.conversion{failureMode};
            pdfTTS.TTS = pdfTTS.RUL*T.conversion{failureMode};
        end

    end
    
end

[ricardo arias]

Hello, @Aniket Manjare:

Can I use your code to predict the RUL with a file like this:

https://drive.google.com/file/d/1F3qs6J2PFpBBlB8b1cBjoTOpGPBgxV7D/view?usp=sharing

Only for VelB2 (Velocity in Bearing 2, in in/s). Threshold 0.351 in/s.

Could you help me with this??

Thanks