# Signal Analysis 1 Rainflow Cycle Counting Astm E1049 85

> Sub-skill of signal-analysis: 1. Rainflow Cycle Counting (ASTM E1049-85) (+4).

- Skill: `vamseeachanta/signal-analysis-1-rainflow-cycle-counting-astm-e1049-85` (Agent Skill)
- Install (CLI): `npx skillmds@latest add vamseeachanta/signal-analysis-1-rainflow-cycle-counting-astm-e1049-85`
- Raw SKILL.md: https://api.skillmd.com/api/skills/vamseeachanta/signal-analysis-1-rainflow-cycle-counting-astm-e1049-85/raw
- Safety review: PASS (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: vamseeachanta (https://skillmd.com/u/vamseeachanta)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/vamseeachanta/signal-analysis-1-rainflow-cycle-counting-astm-e1049-85

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# 1. Rainflow Cycle Counting (ASTM E1049-85) (+4)

## 1. Rainflow Cycle Counting (ASTM E1049-85)


Extract stress/load cycles for fatigue analysis using industry-standard rainflow algorithm.

```yaml
signal_analysis:
  rainflow:
    flag: true
    input_file: "data/stress_time_history.csv"
    time_column: "time"
    signal_column: "stress"
    output:

*See sub-skills for full details.*

## 2. FFT Spectral Analysis


Compute frequency content using Fast Fourier Transform.

```yaml
signal_analysis:
  fft:
    flag: true
    input_file: "data/motion_time_history.csv"
    time_column: "time"
    signal_column: "heave"
    output:

*See sub-skills for full details.*

## 3. Power Spectral Density (Welch Method)


Estimate power spectral density with reduced variance using overlapping segments.

```yaml
signal_analysis:
  psd:
    flag: true
    input_file: "data/vessel_motion.csv"
    time_column: "time"
    signal_columns:
      - "surge"

*See sub-skills for full details.*

## 4. Time Series Conditioning


Prepare raw time series for analysis with filtering and preprocessing.

```yaml
signal_analysis:
  conditioning:
    flag: true
    input_file: "data/raw_signal.csv"
    output_file: "data/conditioned_signal.csv"
    operations:
      - type: "resample"

*See sub-skills for full details.*

## 5. OrcaFlex Signal Batch Processing


Process multiple OrcaFlex time histories in parallel.

```yaml
signal_analysis:
  orcaflex_batch:
    flag: true
    sim_directory: "results/.sim/"
    sim_pattern: "*.sim"
    variables:
      - object: "Line1"

*See sub-skills for full details.*