Vibration Measurement In Solids TRIZ Cases

A donut-shaped casing, central cylinder, and nested substrate shrink the sensor while improving mounting ease and vibration detection stability.

Vibration sensing triggers longer measurement cycles and extra processing to keep ultrasonic gas flow readings accurate near valves and regulators.

By selecting stable vibration sections from motor current or speed data, this case improves abnormality and lifetime diagnosis under irregular loads.

A shallow central recess shifts mount resonance above the measurement range and stabilizes clamping for more repeatable vibration signals.

Friction dampers on the bit support assembly dissipate HFTO energy in downhole strings, reducing wear and preserving measurement quality.

Estimated control-induced vibrations are combined with sensor data to reveal rotor damage masked by active vibration reduction.

Constant per-revolution sampling and correlation enhancement reduce noise in variable-speed shaft monitoring and reveal incipient damage earlier.

Vibration signals are denoised with EEMD and analyzed by a wavelet neural network to detect rotating equipment faults and predict remaining life.

An unloaded loose part with vibration and distance sensing reveals early roller or guide rod damage before operational loads mask the signal.

Combining automated dynamic excitation with static preload captures real machining conditions for more accurate machine tool stability prediction.

Filtered vibration sensing extracts guide motion segments for reliable fatigue detection with lower computing effort and energy use.

A direct-contact transmission leg on the oil passage mount captures bearing housing vibration without separate cartridge sensor installation.

Motor sound analysis in UAVs predicts remaining cycles before failure, enabling maintenance alerts and restricting unsafe operation.

Vibration data from an IC tester is compared with a threshold to detect instability early, trigger alerts, and prevent costly test defects.

Sensor data is sampled over at least one rolling-element load-path cycle, improving abnormality detection on rolling surfaces and lubrication state.

Multiple accelerometers combine time-domain screening with selective frequency analysis to detect bearing, gearbox, and generator defects early.

Logarithmic sweep excitation and inverse-signal convolution identify nonlinear motor behavior without cumbersome physical models.

Comparing rising and falling frequency sweeps reveals resonance shifts that help identify abnormal machine tool vibration.

Adaptive reference models link shaft vibration to operating conditions, reducing false alarms and enabling immediate turbomachine monitoring.

Dual accelerometers compare shaft and reference vibrations to catch rapid jamming and detached-shaft faults with less weight and complexity.

Separating high- and low-frequency vibration components enables single-sensor fault detection and localization in rotating power transmissions.

A sensor mount integrated with the oil passage uses a transmission leg to capture rotor vibration without separate cartridge sensor installation.

Peak detection and Fourier analysis from the same vibration data improve machine condition monitoring and help locate incipient rotating-part damage.

Combined magnetic preload and dynamic excitation measure machine tool dynamics under real rotation, improving stability lobe accuracy.

Sensors and feedback control detect turbine blade flutter and adjust operating parameters to cut deflection, extend blade life, and sustain efficiency.

Real-time blade deflection sensing adjusts fuel, oxidant, temperature, and pressure to suppress gas turbine flutter and extend blade life.

Linearized contact-force harmonic analysis identifies unstable brake eigenmodes faster, helping reduce squeal noise with practical computation time.

Remote torsional vibration sensing through the shaft detects bearing degradation earlier and estimates remaining useful life.