Apparatus and associated methods relate to monitoring health of a hydraulic system. A method includes monitoring pressure within the system and determining when a potential fatigue condition may occur based on counting the number of times pressure in the system has exceeded the at least one threshold. In some embodiments, strain cycle data is calculated based on a time sequence of signals generated by a hydraulic fitting, which is indicative of strain of the hydraulic fitting. An output signal indicative of the fatigue condition determined is generated. In some embodiments, the strain data includes a number of strain cycles that the time sequence of signals crosses from below a strain threshold to above the strain threshold.

A utility pole testing apparatus includes three or more utility poles including a first utility pole, a second utility pole, and a third utility pole, a support line that is stretched between the first utility pole and the second utility pole, and is also stretched between the second utility pole and the third utility pole, a rail extended in a direction that intersects both a direction in which the three or more utility poles extend and a direction in which the support line is stretched between the first utility pole and the second utility pole, and a carriage configured to support the third utility pole, the carriage being movably provided along the rail together with the third utility pole.

An inspection device includes: a base; a linear motion mechanism which performs linear motion; a link mechanism which has a driven link connected to the base, and which extends/contracts by the linear motion performed by the linear motion mechanism; a connection mechanism for connecting between a driving link of the link mechanism and the linear motion mechanism; and a sensor. The connection mechanism has a link connection portion connected to the link mechanism, and a ball nut that moves in conjunction with the linear motion performed by the linear motion mechanism. When a force higher than or equal to a predetermined force is applied to the link mechanism, the link connection portion is separated from the ball nut so as to contract the link mechanism.

An inspection device includes: a base; a linear motion mechanism which performs linear motion; a link mechanism which has a driven link connected to the base, and which extends/contracts by the linear motion performed by the linear motion mechanism; a connection mechanism for connecting between a driving link of the link mechanism and the linear motion mechanism; and a sensor. The connection mechanism has a link connection portion connected to the link mechanism, and a ball nut that moves in conjunction with the linear motion performed by the linear motion mechanism. When a force higher than or equal to a predetermined force is applied to the link mechanism, the link connection portion is separated from the ball nut so as to contract the link mechanism.

A method for collecting error code history includes detecting a fault caused by errors in a machine, initiating a dispatch request from the machine to a service location, generating a first quick response code in response to a first input signal from a technician, where the first quick response code encodes first configuration items that describe the machine and first error codes that characterize the detected errors, presenting a first graphical image of the first quick response code on a display, performing a self-test in the machine in response to a second input signal, generating a second quick response code after the self-test has been completed, where the second quick response code encodes second configuration items that describe the machine and second error codes, and presenting a second graphical image of the second quick response code on the display.

This disclosure provides systems, methods, and devices related to the study of ecological processes. In one aspect, a device includes a base, a substrate, and an enclosure. The substrate is in contact with a first surface of the base. The substrate and the base define a root chamber. The enclosure is in contact with a second surface of the base. The base and the enclosure define a growth chamber. The base defines a stem port connecting the root chamber and the growth chamber. The base further defines a first port in fluid communication with the root chamber and a second port in fluid communication with the root chamber. The device is operable to contain a plant, roots of the plant being in the root chamber, a stem of the plant passing through the stem port, and leaves of the plant being in the growth chamber.

This disclosure provides systems, methods, and devices related to the study of ecological processes. In one aspect, a device includes a base, a substrate, and an enclosure. The substrate is in contact with a first surface of the base. The substrate and the base define a root chamber. The enclosure is in contact with a second surface of the base. The base and the enclosure define a growth chamber. The base defines a stem port connecting the root chamber and the growth chamber. The base further defines a first port in fluid communication with the root chamber and a second port in fluid communication with the root chamber. The device is operable to contain a plant, roots of the plant being in the root chamber, a stem of the plant passing through the stem port, and leaves of the plant being in the growth chamber.

Disclosed is a method and apparatus for inspecting defects in a washer based on deep learning. According to an embodiment of the present disclosure, a method for inspecting defects in a washer based on deep learning gathers learning data while the washer operates and trains a first ANN model for diagnosing the condition of the washer and a second ANN model for securing the reliability of the result of inspection of the condition of the washer. Thereafter, the washer may make a diagnosis of whether the washer is defective based on the two pre-trained ANN models and are thereby able to continuously monitor whether the washer has an abnormal condition. According to an embodiment, the artificial intelligence (AI) module may be related to unmanned aerial vehicles (UAVs), robots, augmented reality (AR) devices, virtual reality (VR) devices, and 5G service-related devices.

A field agricultural machinery test platform, comprising a field soil groove, traveling guide rails, traveling trolleys, a hitch trolley, a hitch device mechanism, and a test system. The two guide rails are provided on both sides of the field soil groove in parallel, and the traveling trolleys are located on the guide rails; a cross beam is provided between the two guide rails, and the two ends of the cross beam are respectively connected to the traveling trolleys; the hitch trolley is provided on the cross beam, and a hitch device is provided on the hitch trolley; the test system is provided on the hitch trolley and the hitch device; a test machine is connected to the hitch device; the test system comprises an image assembly, a force test assembly, and a control assembly which are mounted on the hitch trolley.

A method for diagnosing and predicting operation conditions of large-scale equipment based on feature fusion and conversion, including: collecting a vibration signal of each operating condition of the equipment, and establishing an original vibration acceleration data set of the vibration signal; performing noise reduction on the original vibration acceleration data set, and calculating a time domain parameter; performing EMD on a de-noised vibration acceleration and calculating a frequency domain parameter; constructing a training sample data set through the time domain parameter and the frequency domain parameter; establishing a GBDT model, and inputting the training sample data set into the GBDT model; extracting a leaf node number set from a trained GBDT model; performing one-hot encoding on the leaf node number set to obtain a sparse matrix; and inputting the sparse matrix into a factorization machine to obtain a prediction result.