pswamp.monitoring.fft
Classes
General time window application template. |
Functions
Calculates the frequency spectrum of the signal. |
Module Contents
- pswamp.monitoring.fft.calculate_fft_spectrum(y)
Calculates the frequency spectrum of the signal.
- Parameters:
y – Signal to be analyzed.
- Returns:
The frequency spectrum.
- class pswamp.monitoring.fft.FFTOnline(kafka_kwargs, fft_window=5, time_window_store=10, kafka_topic='pmudata', status_topic='application.status', channel_selection={'measurement': 'f'}, *args, **kwargs)
Bases:
pswamp.app_templates.time_window_app.TimeWindowAppGeneral time window application template.
New applications could be defined by inheriting from this template, and defining the “run_analysis” method. Similar to SnapshotApp, but has an internal time window storage. The length of the time window is determined by either of the arguments n_samples or window_length. If neither are specified, the size of the time window will grow indefinitely.
TODO: Remove channel_selection and channel_selection_idx from arguments.
- Parameters:
io – Input/output object (normally connects to Kafka)
eval_freq – How often the evaluation of the application should be run (e.g., the part in “run_analysis”)
t_end – The application will stop running when this time is reached (but can be restarted)
t_start – The application will ask the io object (first argument) to search for t_start when initializing.
app_name – Name for the application.
input_decoder – This determines how the input is read/decoded (if no decoder is specified, a decoder for PMU data frames will be used.)
decoder_kwargs – Kwargs for initalizing the “input_decoder”.
channel_selection – Argument for specifying channel subset.
channel_selection_idx – Argument for specifying channel subset.
n_samples – Determines the window length in samples.
window_length – Determines the window length in seconds.
report_status – If enabled, status messages will be emitted.
io_kwargs – Any other kwargs will be forwarded to the io object.
- n_samples_store
- freq_range
- em_freq_idx
- fft_tw = []
- threshold_emergency = 10
- threshold_alert = 1
- max_amplitude = 0
- run_fft
- run_analysis(t, measurements)