An ultrasonic bonding apparatus includes an ultrasonic bonding machine having an ultrasonic tool for applying an ultrasonic wave to a bonding target member mounted on a fixed object fixed to a jig, while pressing a bonding member against the bonding target member; and a bonding inspection apparatus for inspecting a bonding quality of the bonding target member and the bonding member. The bonding inspection apparatus includes: a bonded-state measuring device for detecting a vibration in the jig or a housing of the ultrasonic bonding machine equipped with the jig, to thereby output a detection signal; and a bonded-state determination device for determining, in a bonding process for the bonding target member and the bonding member, a bonded state between the bonding target member and the bonding member on the basis of the detection signal outputted by the bonded-state measuring device.

A sampling device receives, from a transducer computing device located within a predefined proximity to an equipment in an operating environment, a vibration sample from the operating environment and increments a retrain counter. In response to determining that the incremented retrain counter does not meet or exceed a retrain threshold, the sampling device predicts, using a model, an anomalous or non-anomalous designation for the vibration sample and a cluster assignment, to a particular cluster of a set of clusters, for the vibration sample when the model predicts the non-anomalous designation for the vibration sample. The sampling device receives a subsequent vibration sample and further increments the retrain counter. In response to determining that the further incremented retrain counter exceeds a retrain threshold, the sampling device receives a subsequent set of vibration samples and retrains, using the subsequent vibration sample and the subsequent set of vibration samples, the model.

Systems and methods for reducing work conflicts is provided. The method includes receiving a vibrational signal from a utility pole; identifying a location and type of field work on the utility pole from one or more features of the vibrational signal utilizing a trained neural network; and communicating the location and type of field work to a third party.

A bearing support (26) for a compressor (10) includes an annular body. The annular body includes a circle opening (28) that is configured to receive a bearing (21) and a shaft (20). A tapered portion (30) is tapered away from the circular opening. The tapered portion (30) includes a passage (32). A vibration sensor (34) is situated in the passage. A compressor and a method of sensing vibration adjacent a bearing in a compressor are also disclosed.

A bearing support (26) for a compressor (10) includes an annular body. The annular body includes a circle opening (28) that is configured to receive a bearing (21) and a shaft (20). A tapered portion (30) is tapered away from the circular opening. The tapered portion (30) includes a passage (32). A vibration sensor (34) is situated in the passage. A compressor and a method of sensing vibration adjacent a bearing in a compressor are also disclosed.

An optimization analysis method of an adhesive position in an automotive body includes: imposing a predetermined vibration condition on an automotive body model, performing frequency response analysis, and obtaining a vibration mode generated in the automotive body model, and a deformation form in the vibration mode; determining a load condition to be imposed on the automotive body model; generating an optimization analysis model obtained by setting an adhesive candidate in the automotive body model; setting an optimization analysis condition used to perform optimization analysis by using the adhesive candidate set in the generated optimization analysis model; and imposing the load condition determined in the load condition determination step on the optimization analysis model, performing the optimization analysis, and obtaining the adhesive candidate that satisfies the optimization analysis condition, as an optimized adhesive portion where each parts assembly is adhesively bonded.

A diagnostic device includes a reception unit and a determination unit. The reception unit is configured to receive context information and sensing information. The context information corresponds to a certain operation of a target item that constitutes a target device. The context information is a piece of a plurality of pieces of context information each describing an operation of the target item determined depending on a type of operation of the target device. The sensing information is on a physical quantity that varies in accordance with the operation of the target item. The determination unit is configured to determine a state of the target item based on the sensing information detected while the target item is performing the certain operation, and based on a model corresponding to the received context information. The model is a model of one or more models respectively defined for one or more pieces of the context information.

A diagnostic device includes a reception unit and a determination unit. The reception unit is configured to receive context information and sensing information. The context information corresponds to a certain operation of a target item that constitutes a target device. The context information is a piece of a plurality of pieces of context information each describing an operation of the target item determined depending on a type of operation of the target device. The sensing information is on a physical quantity that varies in accordance with the operation of the target item. The determination unit is configured to determine a state of the target item based on the sensing information detected while the target item is performing the certain operation, and based on a model corresponding to the received context information. The model is a model of one or more models respectively defined for one or more pieces of the context information.

This abnormality monitoring device is equipped with: an acceleration data acquisition unit for acquiring measurement data about the acceleration of a vehicle chassis; an abnormality presence determination unit for determining whether an abnormality is present on the basis of a comparison between the acceleration and a threshold; a frequency analysis unit for analyzing the acceleration frequency when the abnormality presence determination unit determines that an abnormality is present, and an abnormality type identification unit for identifying abnormality type on the basis of the frequency pattern.

Various systems and methods for demonstrating acoustic properties of a fenestration unit are provided herein. A system includes a sound demonstration apparatus having a sound insulating member defining an acoustic chamber, wherein the sound demonstration apparatus includes at least one open face. The system also includes a sound emitter operable to be positioned in the acoustic chamber of the sound demonstration apparatus, wherein the sound demonstration apparatus is operable to engage the fenestration unit at the open face of the sound demonstration apparatus. The method includes positioning the sound demonstration apparatus and a fenestration unit, such that the fenestration unit and the sound demonstration apparatus are operably engaged and form an acoustic chamber. The method includes activating a sound emitter.