Sensor data faults - code
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Hello,
I am developing a fault analyzer for data from wireless sensors. At the moment I am using random data I have created in Matlab at the moment. As part of my self study, I intend to detect the following data faults.
1. Outliers
2. Spikes
Defined as the rate of change much greater than expected over a short period of time where the signal may pr may not return to normal afterwards
3. Stuck-at fault Defined as a serioes of sensor data values that experience zero or almost zero variation for a period of time greater than expected
4. Noisy signal.
Detected by observing the signal variance and by correlating sensor data with its neighbours
I kindly request you to assist me with a matlab code that detects each of these data faults.
Is it possible to build a fault analyzer that runs at once and reads the data file to detect or the mentioned faults in one go, one after the other?
I will be very grateful for your help.
Thank you
Kind regards
1 Comment
Kobra Ghasemi
on 22 Jun 2013
Hi you can use many approaches for detect these fault such as limit checking for case 2 or filtering sensor data in case of 4 or use pca (principle component analysis) for case3.
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