EQUIPMENT SERIES
T8-3X Dynamic Signal Analyzer
Acquire and analyze vibration, shock, sound pressure, dynamic force, pressure and voltage signals for measurement, structural response and modal-test workflows.
T8-3X
APPLICATION NOTE · T8-DSA-601
Two sounds can both measure 85 dB, one low and full, the other sharp and harsh. A sound level meter's single number cannot tell them apart, yet product noise complaints often come from sounds that are unpleasant rather than too loud. On one multi-channel acquisition system, this module performs sound level statistics, octave spectra, Zwicker psychoacoustic sound quality and automatic tone detection. It gives 16 indicators per channel, including loudness, sharpness, roughness, fluctuation strength and articulation index, so sound quality becomes engineering data that can be improved and accepted.
The A-weighted level answers only how loud a sound is. Sounds of equal level — a low hum or a high hiss — are perceived very differently: the first is dull but tolerable, the second irritating. Most noise complaints about appliances, vehicles and motors are not about exceeding a level but about harsh high-frequency content or noticeable modulation — sound quality problems.
The traditional approach uses a sound level meter for levels, an octave analyzer for spectra and separate sound quality software for psychoacoustic indicators: three systems and three data sets that are hard to align in time and cannot analyze many channels at once. Integrated in the T8 vibration and acoustic system, the module computes sound level statistics, octave spectra, FFT spectra and Zwicker sound quality for eight channels at every refresh, answering four questions in one measurement: how loud, what content, how pleasant and whether tones are present.
| Function | Description |
|---|---|
| Multi-channel sound pressure waveforms | Time waveforms (Pa) of the selected channels, to confirm signal quality |
| Statistics table per channel | Equivalent level, peak level, sound exposure level, kurtosis, crest factor, impulse factor, form factor, noise dose, TWA, loudness, loudness level, sharpness, roughness, fluctuation strength and articulation index |
| Octave spectra | 1/3 octave (Z, A or C weighting), 1/1 octave and 1/12 octave, in the stepped display used by acoustic instruments |
| Specific loudness spectrum | Loudness distributed over the 24 critical bands (Bark) of the ear, showing which bands produce the loudness |
| Excitation level spectrum | Excitation distribution including masking, reflecting what the ear actually hears |
| FFT spectrum | FFT magnitude (dB) and FFT phase views |
| Fast level history | Level against time with IEC 61672 Fast time weighting (125 ms), continuous across data blocks |
| Tone and peak detection | Automatic search of spectral peaks; components more than 6 dB prominent are marked as audible tones |
| Data export | CSV report with the statistics and the 1/3-octave table |
| Stay on top and help | Keep the window in front; built-in reference |
The left panel selects the channels to analyze and the analysis channel used for tone detection; below it, the tone and peak list shows the main peak frequencies, levels and tone marks.
For air conditioners, refrigerators, washing machines, vacuum cleaners, motors and pumps, loudness decides whether a limit is exceeded, sharpness whether the sound is harsh, and roughness or fluctuation strength whether there is annoying modulation. Quantifying these in development, with octave and specific loudness spectra to find the frequency source of harsh components, gives a direct basis for acoustic improvement.
Workplace assessment concerns not only the instantaneous level but the accumulated exposure over eight hours. The module gives the noise dose (%) and the eight-hour time-weighted average level (TWA) directly for comparison with occupational limits.
Fan and wind turbine noise rules (such as IEC 61400-11) require a decision on audible tones, which strongly increase the risk of complaints. The module searches spectral peaks, calculates tone prominence and marks components above 6 dB as tones without manual reading.
Fluctuating noise, such as intermittent machines or traffic, is badly described by instantaneous levels. The module calculates statistics over the whole period (maximum and minimum level, sound exposure level SEL) and, with the octave spectrum, identifies the spectral composition and main contributing bands.
Control rooms, command centers and cabins need speech intelligibility. The articulation index (AI, 0 to 1) quantifies how clearly speech is transmitted against the current background, guiding noise control targets and public address design.
With the supplied example data, all functions — stepped octave spectra, Bark specific loudness, Fast level history and tone detection — can be demonstrated without a sound calibrator.
| Indicator | Question | Engineering meaning |
|---|---|---|
| Equivalent level Leq | How loud is the sound overall? | Basic quantity for compliance; an energy average not misled by fluctuations |
| Peak level Lpeak | How strong are instantaneous impacts? | Evaluation of impact and blast sounds; a high crest factor indicates impacts |
| Sound exposure level SEL | What is the event energy normalized to 1 second? | Fair comparison of events of different duration (for example single pass-by events) |
| Kurtosis, crest, impulse and form factors | Does the waveform contain impacts? | Dimensionless statistics that identify impulsive noise such as clicks or foreign-object impacts |
| Noise dose / TWA | How much exposure has a worker accumulated? | An exposure estimate only when the configured regime and representative task durations are verified |
| Loudness N / loudness level | How loud does it sound? | Closer to perception than dB; a direct measure of product loudness |
| Sharpness S | Is the sound harsh? | Measure of the high-frequency share; often the first target of noise improvement |
| Roughness R / fluctuation strength | Does the sound tremble or rasp? | Quantifies modulation noises (gears, blade passing, electromagnetic pulsation) |
| Articulation index AI | Can speech be understood in this noise? | Design target for communication and public address environments (0–1, higher is clearer) |
| Octave / specific loudness spectra | Where in frequency is the problem? | Locates the problem in frequency |
| Tone prominence | Are there audible tones? | Key factor for regulatory decisions (wind turbines, fans) and subjective annoyance |
Lp = 20 · lg(p / 20 µPa) [dB]
The reference of 20 µPa is the threshold of hearing at 1 kHz. A and C weightings correct the spectrum band by band according to IEC 61672: A-weighting models the ear's low sensitivity at low frequencies (used for environmental and occupational noise); C-weighting is flat and keeps low-frequency energy (used for impulse and peak evaluation).
The equivalent continuous level Leq is the energy average of the squared sound pressure over the analysis period. The sound exposure level normalizes the total energy to one second, SEL = Leq + 10 · lg(T), for fair comparison of events of different duration. Kurtosis, crest factor (peak / RMS), impulse factor (peak / mean absolute value) and form factor (RMS / mean absolute value) are dimensionless waveform statistics with typical values for sine and random noise; clear deviations indicate impacts or modulation.
The range from 20 Hz to 16 kHz is divided into standard bands: 10 bands for 1/1 octave, 30 bands for 1/3 octave and the corresponding finer division for 1/12 octave. Each band level is the energy sum of the FFT lines in the band:
L_band = 10 · lg(Σ p² / p0²) [dB]
Bands are drawn as steps from lower edge to upper edge, as on acoustic instruments. The 1/3-octave view supports Z, A and C weighting, with corrections at each band center. Empty bands are clamped to 0 dB so the curve does not drop abnormally.
Env(i) = α · x²(i) + (1 − α) · Env(i − 1), α = 1 − exp(−1 / (0.125 · Fs))
The Fast setting of a sound level meter is a first-order exponential average of the instantaneous power with a 125 ms time constant. The averaging state is kept between data blocks, so long histories have no jump at the start of each block, consistent with a real sound level meter.
The cochlea acts like a filter bank: 24 critical bands (Bark scale) each sense the energy in their range. Loudness is calculated in four steps:
| Step | Operation | Basis |
|---|---|---|
| 1 | Build the 1/3-octave spectrum from the windowed FFT magnitude | IEC 61260 band division |
| 2 | Map 1/3-octave energy to 24 Bark critical bands | Zwicker frequency-to-Bark transform |
| 3 | Add the hearing threshold and apply masking (upward masking 25 dB/Bark, downward 65 dB/Bark) | ISO 389-7 threshold; psychoacoustic masking |
| 4 | Calculate specific loudness N′(z) from the excitation of each band, sum to total loudness N (sone) and convert to loudness level (phon) | ISO 532-1 Zwicker method |
Ln = 40 + 10 · log2 N (for N ≥ 1 sone)
Each doubling of loudness adds 10 phon — the essential difference between perception and physical decibels.
Sharpness is the weighted average of specific loudness over critical band rate; bands above 15.8 Bark are weighted increasingly, emphasizing harsh high-frequency content, in acum. Roughness and fluctuation strength describe rapid variation of the envelope: the signal is rectified and low-pass filtered to extract the envelope, and the modulation depth and frequency are estimated in the 20–200 Hz range (roughness, with maximum sensitivity at 70 Hz modulation) and the 0.5–20 Hz range (fluctuation strength, maximum at 4 Hz), then converted with psychoacoustic weighting curves.
The 15 one-third-octave bands above 200 Hz are weighted by their importance for speech intelligibility. The signal-to-noise ratio of each band between −15 and +30 dB is mapped linearly to 0–1, and the weighted sum is the articulation index. The closer AI is to 1, the easier speech is to understand.
Local maxima in the FFT magnitude spectrum are candidate peaks. For each, the difference between its level and the mean noise level in its critical band (prominence) is calculated. Peaks more than 6 dB prominent are audible tones and marked in the tone list, which also gives the peak frequency (Hz) and level (dB) of up to six main peaks.
All indicators are calculated per channel at every refresh. The windowed FFT of the main analysis chain is reused rather than computed twice, and data-heavy views such as 1/12 octave are calculated on demand, so continuous refreshing is possible with many channels for online monitoring.
| Standard | Title | Relevance |
|---|---|---|
| IEC 61672-1 / GB/T 3785.1 | Sound level meters, Part 1: specifications | Design basis for A, C and Z frequency weighting and Fast (125 ms) time weighting |
| IEC 61260-1 / GB/T 3241 | Octave-band and fractional-octave-band filters | 1/1, 1/3 and 1/12 octave bands and nominal center frequencies |
| ISO 532-1 | Acoustics — Methods for calculating loudness — Zwicker method | Loudness (sone), loudness level (phon), specific loudness and the masking model |
| ISO 389-7 | Acoustics — Reference zero for the calibration of audiometric equipment — Part 7: threshold of hearing under free-field and diffuse-field conditions | Threshold table for the Bark bands |
| ANSI S3.5 | Methods for calculation of the articulation index | Band weights and SNR mapping of the articulation index |
| IEC 61400-11 | Wind turbines — Acoustic noise measurement techniques | Basis for the tone prominence decision (6 dB threshold) |
| OSHA 29 CFR 1910.95 | Occupational noise exposure (U.S.) | Noise dose (8 h at 90 dB = 100 %, 5 dB exchange rate) and TWA calculation |
| Capability | Benefit |
|---|---|
| Three roles in one system | Sound level meter, octave analyzer and sound quality analyzer in one |
| Eight synchronized channels | Several points at once (around the machine, operator position, background) with per-channel comparison |
| Complete psychoacoustic indicators | Loudness, sharpness, roughness, fluctuation strength and articulation index for sound quality improvement |
| Up to 1/12 octave | High-resolution band spectra for locating narrow-band noises |
| Excitation level spectrum with masking | Shows not only what is physically present but what the ear hears |
| Automatic tone decision | Audible tones marked on the IEC 61400-11 basis without manual reading |
| Direct occupational readings | Noise dose and TWA without manual conversion |
| Continuous Fast history | Level history continuous across data blocks, as on a sound level meter |
| One-step CSV report | Statistics and octave table exported together |
| Shared platform with vibration | Acoustic and vibration analysis share acquisition hardware and data, supporting combined noise and vibration work |
| Step | Action | Note |
|---|---|---|
| 1 | Select analysis channels | Only enabled channels can be selected |
| 2 | Select the analysis channel | The reference channel used for tone detection |
| 3 | Refresh | All selected channels are calculated and the four areas updated |
| 4 | Check the statistics table | The 16 indicators per channel, such as Leq, peak and dose |
| 5 | Switch the octave view | 1/3 octave Z/A/C, 1/1, 1/12, specific loudness, excitation level |
| 6 | Switch the spectrum view | FFT magnitude dB, FFT phase, Fast (125 ms) level history |
| 7 | Read the tone list | Peak frequencies, levels and tone marks |
| 8 | Export | CSV with statistics and the 1/3-octave table |
| 9 | Stay on top | Keep the window in front for side-by-side work |
| Purpose | View | Note |
|---|---|---|
| Sound quality improvement | Specific loudness spectrum with sharpness and loudness | The peak band of specific loudness is the source band of harsh components |
| Spectral composition of noise | 1/3 octave, A-weighted | The A-weighted spectrum matches perceived distribution |
| Tones and abnormal sounds | FFT magnitude with the tone list | High FFT resolution with tone marks gives a direct conclusion |
| Modulation noises | Roughness and fluctuation strength | High values indicate clear envelope modulation |
| Workplace noise | Dose, TWA and Leq | Evaluated for the current measurement period; record long periods in segments |
| Speech environment | Articulation index | AI below 0.3 indicates insufficient intelligibility; reduce noise or amplify |
Channel 1, near field of a fan prototype:
The reading order — overall level (Leq), character (kurtosis, crest factor), perception (loudness, sharpness) and frequency location (octave, specific loudness, tone list) — leads from data to improvement measures in four steps.
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