An electro-acoustical transducer such as a Piezoelectric Micromachined Ultrasonic Transducers is coupled with an adjustable load circuit having a set of adjustable load parameters including resistance and inductance parameters. Starting from at least one resonance frequency or at least one ring-down parameter of the electro-acoustical transducer a set of model parameters is calculated for a Butterworth-Van Dyke (BVD) model of the electro-acoustical transducer. The BVD model includes an equivalent circuit network having a constant capacitance coupled to a RLC branch and the adjustable load circuit is coupled with the electro-acoustical transducer at an input port of the equivalent circuit network of the model of the electro-acoustical transducer. The adjustable load parameters are adjusted as a function of the set of model parameters calculated for the BVD model of the electro-acoustic transducer to increase the bandwidth or the sensitivity of the electro-acoustic transducer.

For a resonator system such as a (haptic) LRA, a methodology for resonant frequency (F0) tracking/control with continuous resonator drive, based on estimating back-emf, including estimating resonator resistance based at least in part on the sensed resonator drive signals, with back-emf estimated based at least in part on the sensed resonator drive signals and the estimated resonator resistance. A phase difference is detected between the resonator drive signals, and the estimated back-emf signals, generating control for resonator drive frequency, which can be used to iteratively adjust the resonator drive frequency until phase coherent with the estimated back-emf signals (F0 lock), such as for driving the resonator at or near a resonant frequency. An amplitude control loop can be used to iteratively adjust resonator drive amplitude based on a difference between estimated back-emf and a target back-emf derived from a rated back-emf and the resonator frequency resonant frequency.

An embodiment hammer device includes a driver, an upper body configured to move in a direction set by power generated from the driver, an elastic body provided on the upper body, a hammer provided in the elastic body, a force sensor provided in the hammer, and a support configured to support the elastic body and the hammer.

A vibration detection element includes substrates, support members, and an oscillator, and may be used as a biosensor and/or for liquid inspection by analysis of oscillator resonant frequency change. The substrates have a space portion, and the support members protrude from the surfaces of the respective substrates into the space portion. The oscillator is disposed between the support members and is capable of vibrating in the space portion. The support members may each include multiple supports which prevent the oscillator from contacting the substrate surfaces. During manufacturing the oscillator may be transferred from the support member of a glass flow path substrate to a silicon flow path substrate by placement of the silicon substrate support member against the oscillator and subsequent removal of the adhesive from the glass substrate support member.

A vibration detection element includes substrates, support members, and an oscillator, and may be used as a biosensor and/or for liquid inspection by analysis of oscillator resonant frequency change. The substrates have a space portion, and the support members protrude from the surfaces of the respective substrates into the space portion. The oscillator is disposed between the support members and is capable of vibrating in the space portion. The support members may each include multiple supports which prevent the oscillator from contacting the substrate surfaces. During manufacturing the oscillator may be transferred from the support member of a glass flow path substrate to a silicon flow path substrate by placement of the silicon substrate support member against the oscillator and subsequent removal of the adhesive from the glass substrate support member.

A detection system contains a sensing device including a vibration unit for applying vibration to the inspection target, the vibration unit attached to the inspection target, a driving circuit for supplying an electric signal to the vibration unit for driving the vibration unit and a sensor for detecting vibration of the inspection target caused by the vibration applied from the vibration unit; and a detection processing device for receiving vibration information related to the vibration of the inspection target detected by the sensor from the sensing device and detecting the state change of the inspection target based on the vibration information. The vibration unit includes a coil, a spring, and a magnet.

Provided is a sensor interface including a first cantilever beam bundle including at least one resonator and a first output terminal, a second cantilever beam bundle including at least one resonator and a second output terminal, and a differential amplifier including a first input terminal electrically connected to the first output terminal of the first cantilever beam bundle and a second input terminal electrically connected to the second output terminal of the second cantilever beam bundle.

A predicting device, including a processor configured to: acquire displacement data that expresses a time series of displacements at respective points in time that are input to a vibration proofing member, and velocity data that expresses a time series of velocities at respective points in time that are input to the vibration proofing member; generate first load data of the vibration proofing member by inputting the acquired displacement data and velocity data into a model that is for inferring, from the displacement data and the velocity data, load data; generate second load data of the vibration proofing member by inputting the acquired displacement data and velocity data into a regression trained model that is for inferring, from the displacement data and the velocity data, load data; and infer load data relating to the vibration proofing member by adding together the generated first load data and the generated second load data.

Systems, devices, and methods are described for mitigating or eliminating distortion patterns (such as those caused by one or more high-volume audio sources) in a display system such as a laser projection system. Frequency components of an incoming sound that correspond to one or more resonant frequencies of an optical reflector of the display system are determined to exceed a defined volume threshold. Responsive to that determination, a magnitude and phase of one or more harmonic motions of the optical reflector are measured. Sound waves are generated to destructively interfere with at least one frequency component corresponding to the resonant frequencies of the optical reflector.

Provided is a member state evaluation method that makes more highly accurate instantaneous understanding of various states of a member to be tested possible without reliance on the shape of the member, the testing environment, or the skill level of the tester. The member state evaluation method is provided with: a state evaluation database construction step for constructing a state evaluation database by determining a plurality of vibration points and measurement points for each analysis model, carrying out vibration at the vibration points, measuring the acoustic signal generated by the vibration at the measurement points, carrying out frequency analysis, and thereby obtaining, as state evaluation data, frequency distribution data acquired for each vibration point and each measurement point that includes the natural frequencies for each of a plurality of modes; an actual measurement state evaluation data acquisition step for acquiring, as actual measurement state evaluation data, frequency distribution data for the member to be tested that includes the natural frequencies of each of the plurality of modes; and a state evaluation step for evaluating the member to be tested by comparing the acquired actual measurement state evaluation data and all the state evaluation data of the state evaluation database.