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Feature extraction from a signal and classification

45 vues (au cours des 30 derniers jours)
Harry
Harry le 19 Fév 2017
Commenté : Liyifei LiYiFei le 24 Avr 2023
I was wondering if anyone could help me with a few steps or even code to get started on feature extraction from a signal. I would like to extract the features of a signal and then classify them in the classification learner app.
The data I have is a vibration signal that varies between a set of healthy bearings and bearings that are faulty.
The aim is to extract the features and then compare them in the classification app with each other to identify when bearings are faulty.
Any help is appreciated!
Thanks
  3 commentaires
Harry
Harry le 26 Fév 2017
I uploaded the signals and the code.
Thank you
Liyifei LiYiFei
Liyifei LiYiFei le 24 Avr 2023
你好,我也有和你相似的问题,你解决了吗,如何对信号进行特征提取并进行故障分类

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Réponses (7)

Abel Babu
Abel Babu le 22 Fév 2017
Modifié(e) : Abel Babu le 22 Fév 2017
Hi Harry,
This MATLAB example would be a good starting point:
The example deals with the classification of physiological signals but the features used here can be applied to classification of signals in general. The extracted features can then be fed as features for the classification app.
As suggested by Image Analyst, spectral analysis can be used to generate more features as well.
Abel
  3 commentaires
Jan
Jan le 22 Fév 2017
+1. For Matlab all signals are a list of numbers only and it does not matter what the signal means physically.
Aditya Baru
Aditya Baru le 2 Mai 2018
Modifié(e) : Aditya Baru le 2 Mai 2018
The new Predictive Maintenance Toolbox has a lot of capabilities that support this kind of workflow, so you could check out its documentation for more information.

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Zhao Lu
Zhao Lu le 22 Mar 2021
MATLAB has EMD function, for EEMD, the code can be downloaded from

Rahmawati Rahmawati
Rahmawati Rahmawati le 2 Mai 2018
halo everyone, I am rahma and i am totally newbie in EEG data analysis. I got an assignment to make a classification between two conditions using spectral powers based on Raw EEG data which has been given by my Professor. but to be honest i don't know how to start with this. and here are the state: Sampling rate: 512 HZ Channel position: POz, PO1, PO2, PO3, PO4, Oz, O1, O2
any help and hints are totally helpful for me.
Thanks in advance.
  1 commentaire
Smith Khare
Smith Khare le 25 Sep 2019
One need complete dataset to process and understand, then after the main work starts

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karthikeyan chandrasekar
karthikeyan chandrasekar le 8 Jan 2019
hi everyone can anyone tell me how to extract features using PCA for a signal ,i.e 8190x2 signal which is in text[matrix] format.
Thankyou in advance
  1 commentaire
John Navarro
John Navarro le 2 Fév 2021
By PCA did you mean Principal component analysis?
If so, PCA does not extract features, it evaluates their correlation and indicates the more useful ones. PCA is employed for feature selection, no feature extraction. It should be done according the expertise, the case of study, and the features of interest.

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Zhao Lu
Zhao Lu le 15 Mar 2021
Use EMD or EEMD or CEEMDAN
  3 commentaires
John Navarro
John Navarro le 22 Mar 2021
Signal Processing. Neither of these options are in MATLAB, as far as I know.
Maybe in a forum as function made by other users.
EMD and VMD are the most similar functions you would find in the program.

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litha Mbangeni
litha Mbangeni le 23 Avr 2021
Can I simulate CEEMDAN in matlab
  2 commentaires
Smith Khare
Smith Khare le 23 Avr 2021
Yes... There is a toolbox available. You can use it to analyze the signal
Smith Khare
Smith Khare le 23 Avr 2021
https://github.com/ron1818/PhD_code/blob/master/EMD_EEMD/ceemdan.m
The above link could be of interest to you

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Shrey Joshi
Shrey Joshi le 18 Mai 2022
you can start by using features provided in feature extraction mode of signal labeler app.
https://www.mathworks.com/help/signal/ug/extract-signal-features.html

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