All Questions
4 questions
0votes
1answer
233views
Constructing an LSTM autoencoder for variable-lentgth sequences
I would like to construct an LSTM autoencoder model for sequence anomaly detection where the sequences can be varying in length. I understand based on this answer that padding and masking can be used ...
- 133
2votes
1answer
750views
Early anomaly detection / Failure prediction on time series
My problem here is that I want to predict failures in advance with respect to their occurrence. I have sensors mounted on my machine and with a certain frequency, they send data to my database. ...
- 45
1vote
1answer
774views
Training data for anomaly detection using LSTM Autoencoder
I am building an time-series anomaly detection engine using LSTM autoencoder. I read this article where the author suggests to train the model on clean data only in response to a comment. However, in ...
1vote
1answer
504views
Is window based sequencing a good idea to obtain more training data for LSTMs?
I am trying to do an unsupervised autoencoder based outlier detection for time series using LSTMs. Here, there are multiple time series, and an entire series is to be considered as an outlier. However,...
- 41
