typhoon-rainflow 0.1.1

Fast rainflow counting for streaming input written in Rust

typhoon

Typhoon is a rainflow counting Python module written in Rust by Markus Wegmann ([e-mail])

It uses a new windowed four-point counting method which can be run in parallel on multiple cores and allows for chunk-based sample stream processing, preserving half cycles for future chunks.

It is therefore intended for real-time processing of load captures and serves as as crucial part of i-Spring's in-edge data processing chain.

Installation

Add the package typhoon-rainflow to your Python project, e.g.

poetry add typhoon-rainflow

Example Usage

Single Waveform

import typhoon
import numpy as np

waveform = np.array([0.0, 1.0, 2.0, 1.0, 2.0, 1.0, 3.0, 4.0])
last_peaks = np.array([])
cycles, remaining_peaks = typhoon.rainflow(
    waveform=waveform,
    last_peaks=last_peaks,
    bin_size=1.0,
)

print("Cycles:", cycles)
print("Remaining Peaks:", remaining_peaks)

Multiple Waveform Chunks

waveform1 = np.array([0.0, 1.0, 2.0, 1.0, 2.0, 1.0, 3.0, 4.0])
waveform2 = np.array([3.0, 5.0])

cycles1, remaining_peaks = typhoon.rainflow(
    waveform=waveform1,
    last_peaks=None,
    bin_size=1.0,
)

print("Waveform 1:", waveform1)
print("Cycles 1:", cycles1)
print("Remaining Peaks 1:", remaining_peaks)

cycles2, remaining_peaks = typhoon.rainflow(
    waveform=waveform2,
    last_peaks=remaining_peaks,
    bin_size=1.0,
)

print("Waveform 2:", waveform2)
print("Cycles 2:", cycles2)
print("Remaining Peaks 2:", remaining_peaks)

cycles_merged = Counter(cycles1) + Counter(cycles2)

print("Merged Cycles:", cycles_merged)

Testing

pipx install nox

nox -s build
nox -s test
nox -s develop