Vibration Measurement In Fluid TRIZ Cases

Sound-based risk detection lets a V2X terminal shorten or extend message intervals to protect vulnerable roadside users while limiting energy use.

Waveform-guided extraction isolates similar target sounds from noisy non-steady audio, reducing manual effort and improving analysis accuracy.

A flexible sealing membrane creates closed air volumes so sound and vibration can be sensed while protecting the sensor from water and contaminants.

By mapping fundamental frequencies and harmonics into adjacent image data, this case improves sound abnormality detection for machine learning.

Calibration-based current and gain adjustment offsets membrane temperature sensitivity shifts, keeping vehicle ultrasonic distance sensing accurate.

Programmable delays in a pMUT array replace fixed acoustic lenses, enabling elevation focus control with high frame rates and lower power.

Combined acoustic and electromagnetic imaging aligns sound maps to scenes, improving source localization across wide frequency ranges.

A piezoelectric impulse test checks microphone operation silently, avoiding audible noise while maintaining reliable status monitoring.

Reference audio playback and microphone capture let an HDMI switch detect whether a TV is on, off, standby, or muted without HDMI-CEC.

Prestored send and receive frequency responses let the sensor correct temperature-driven sensitivity shifts by adjusting exciter current and gain.

Frequency filtering, feature extraction, and classification identify noise sources in real time for more accurate nuisance assessment.

Detects headwear-induced acoustic dampening and applies an inverse compensation filter to restore microphone signal quality.

Segmented timing and frequency-band sound analysis pinpoints abnormal equipment parts by comparing operating noise with normal baselines.

Area-based acoustic monitoring links operation events to detector selection, improving component state detection for timely maintenance.

Frequency-domain emphasis and cosine similarity help detect slight abnormal sounds early in target apparatus operation.

A frame opening and reflective inner cover route operational noise to an external sensor while blocking outside sound for abnormal noise detection.

Event-based acoustic detection across chamber and transfer areas identifies component abnormalities for easier maintenance and higher tool reliability.

Reference audio playback and microphone matching reveal whether a TV is on, muted, standby, or off when HDMI-CEC is unavailable.

Reference audio playback and microphone capture let HDMI switches detect TV on, standby, or off states without HDMI-CEC.

Opposing microphones in a synthetic ear capture pressure gradients to measure sound intensity and power beyond SPL alone.

Acoustic sensors match site sound profiles to track remote project progress, detect safety issues, and cut manual monitoring time.

Sequentially enabled microphone array units expand sound coverage and pinpoint abnormal sound regions without complex movable collectors.

A nested case, metal foil, and sealing layout absorbs impact loads to protect vibration sensing elements while limiting resonance and noise.

EQ-based frequency emphasis boosts faint abnormal sound bands, improving template-based detection of slight operating anomalies.

In-situ acoustic and electrical comparison enables accurate remote noise monitor calibration without transport, downtime, or manual errors.

Phase differences across multiple microphones create location-specific noise signatures that separate similar events in complex environments.

Using dry and wet fork frequencies with curve fitting, this case sets accurate switching points across changing media densities.

FMCW radar replaces contact sensors and lasers with phase-based vibration maps that work through smoke, rain, dust, and darkness.

Controlled acoustic waves are swept across frequencies, and Fourier analysis identifies the dominant vibration response for precise underground pipe location.

Automated audio analysis compares monitoring-space measurements with criteria databases and recommends loudspeaker adjustments for room-specific acoustics.

A housing-mounted AE sensor compares signal magnitudes with two thresholds to distinguish resin crushing and metal wear.

Optical fibers detect subtle skin movements to support silent speech communication without sound-level thresholds or ambient-noise dependence.

Time-frequency spectrogram patterns help classify wind turbine blade states, improving abnormality detection despite background noise.