cepstrum — ACOUSTICS bearing op

データ種: signaltable

呼び出し: import acoustics; acoustics.cepstrum(x, rate, mode='real', floor_ratio=1e-12, min_quefrency=0.0) (または opsacoustics.get("cepstrum"))

使い方

対数スペクトルのスペクトル —— 周波数軸上の周期構造を見る。

> 以下の詳細説明は原文のままです —— 要約と見出しは訳出済み。

A harmonic family or a family of modulation sidebands is periodic along the

frequency axis, so it collapses to a single line along the cepstrum's

quefrency axis (in seconds). Two things this finds that a spectrum does not:

an echo at delay `tau (a rahmonic at q = tau`) and a **sideband

family** spaced `df apart (a rahmonic at q = 1/df`). The second is the

bearing case — sidebands around a gear mesh spaced at the shaft rate.

`mode`:

• `"real"irfft(log|X|)`, the standard real cepstrum. Discards phase,

so it cannot be inverted; nothing here pretends otherwise.

• `"power"irfft(log|X|**2) = 2 * real`, kept because the two

conventions differ by exactly a factor of two and mixing them silently

halves or doubles every amplitude a caller compares against a reference.

`log(0) is handled by flooring the magnitude at floor_ratio` times its

own maximum (default 1e-12, i.e. -240 dB) rather than letting `-inf` enter

the inverse transform, where it would make the entire cepstrum NaN. The

number of floored bins is returned as `floored_bins` — a large count means

the signal is band-limited and the cepstrum is dominated by the flooring, not

by the signal.

`min_quefrency` (seconds) excludes the low-quefrency region from the peak

search. This is not cosmetic. The first few bins carry the **spectral

envelope** — the overall shape of the spectrum, which is large and has

nothing to do with periodic structure — and they dominate. Measured on an AM

tone with sidebands 50 Hz apart, the five largest cepstral values sit at

0.000125, 0.00025, 0.000375, 0.000625 and 0.001 s, i.e. all of them are the

envelope, and the default peak search returns 0.000125 s rather than the

1/50 = 0.02 s a reader would expect. Excluding the envelope is the standard

practice ("liftering") and is the caller's decision, so it is an argument

with a visible default of 0.

Returns a dict: `quefrency (s), cepstrum, rate, mode`,

`floored_bins, min_quefrency, peak_quefrency, peak_amplitude`,

`peak_rate_hz (1/peak_quefrency` — the sideband spacing or repetition

rate the rahmonic corresponds to). The peak is taken over

`min_quefrency < q < n/(2*rate)`; the cepstrum is symmetric past that.

Measured ground truths:

Echo. White noise at 8 kHz plus 0.6 times itself delayed by 200

samples: `peak_quefrency = 0.025000` s, peak index exactly 200, and

`floored_bins = 0`.

A periodic family of lines. A 50 Hz impulse train convolved with a

random 64-tap FIR (so the spectrum is broadband with lines every 50 Hz):

peak at `0.020000` s = 50.00 Hz exactly, with

`min_quefrency=0.002`.

What it looks like when the fundamental is not the largest. The

`mode="impulse"` bearing signal repeats every 1/107 s, and the largest

rahmonic above 2 ms is at 0.037383 s — which is `4/107`, the *fourth*

rahmonic, not the first. A cepstrum reports a family, and reading only

its maximum gives an answer that is off by an exact integer factor and

looks entirely reasonable.

Where it stops working. An AM tone has three spectral lines and

nothing else; every other bin is floored, the log spectrum is mostly the

floor, and there is no 1/50 s rahmonic to find at all. Cepstral sideband

analysis needs a *broadband* signal — a gear mesh, not a tone.

`mode="power" is exactly twice mode="real"` (measured max difference

0.000e+00).

Raises `ValueError: everything :func:_as_signal` refuses, an unknown

`mode, floor_ratio outside (0, 1), a negative min_quefrency`, a

`min_quefrency` at or past the half-length of the record (nothing would be

left to search), an identically zero signal, and a signal shorter than 4

samples.

詳しい使い方ガイド

acoustic_condition_monitoring ファミリ ガイド

参考(サンプルデータ・文献)

• サンプルデータ カタログ(DL URL / ライセンス) — 2-D は skimage.data(BSD/public)+ 合成、3-D は実データ源(Stanford/PDS 等)の DL URL。

• 演算子の来歴・参考文献 — この op 族の元になった研究/手法の出典。

• アルゴリズムの正典(著者・年)と用途は上記ファミリ使い方ガイドに記載。

実行できる例(この op を実際に呼ぶ検証済みサンプル)

acoustic_condition_monitoringpy -3.11 examples/acoustic_condition_monitoring.py

型が繋がる次の op(table を入力に取れる)

istft

同カテゴリ(bearing)

envelope_spectrum · bearing_defect_frequencies · spectral_kurtosis


*Provenance: acoustics.py — ACOUSTICS operator registry. この per-op ノートは tools/opdocs.py md が自動生成(手編集しない)。*

© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.