An ultrasonic test device and test method for service stress of a moving mechanical component, where the device comprises an ultrasonic probe, a coupling fluid, a pressure-maintaining cover and universal wheels. The cover is vertically arranged above an inspected position of an inspected component, an interior of the pressure-maintaining cover is filled with coupling fluid, a bottom of the cover is provided with a structure permeable to the coupling fluid to form a coupling fluid film between the inspected position and the bottom of the cover, and a top of the cover is equipped with the ultrasonic probe. A detection part at a lower part of the ultrasonic probe extends into the coupling fluid of the cover and is vertical to the bottom of the cover without contact. The distance between the ultrasonic probe and the inspected component is kept unchanged through the universal wheels.

In an operating method for a transmission having a plurality of transmission components, an operating state of the transmission is established and a mechanical stress on a first transmission component is detected. An amount of damage to the first transmission component then determined based on the detected mechanical stress for a first damage mechanism and added to a defect total using a first defect accumulation model. A model-based remaining useful life of the first transmission component and a probability of occurrence are determined based on the first defect accumulation model. The probability of occurrence for the model-based remaining useful life is determined based on data sets of comparison components having an identical construction to the first transmission component. A corresponding computer program product, a control unit, a monitoring system and a transmission application operating according to the method are also described.

An embodiment of an equipment health state monitoring method adapted to monitor an equipment having a monitored part, including: obtaining a plurality of first values of the monitored part from a sensor in a first time period; extracting a plurality of first parameters from the first values; generating an equipment health state index model according to the first parameters; obtaining a plurality of second value from the sensor in a second time period after the first time period; extracting a plurality of second parameters from the second values; generating a plurality of equipment health state indices according to the second parameters and the equipment health state index model; generating a health state control chart according to the equipment health state indices; and determining whether each of the equipment health state indices locates in an alert area of the health state control chart and outputting a determination result accordingly.

A tool magazine of a machine tool holds machining tools of multiple types. The number of stored machining tools of at least one type is more than one. When all the machining tools of the at least one type are unused, a first test-machining step of machining a workpiece using one machining tool of each type is performed. When the machined product is graded as acceptable, a second test-machining step of replacing the machining tool of the at least one type with an unused machining tool in the tool magazine and machining a new workpiece using the one machining tool of each type is performed. The second test-machining step is repeated until all the machining tools are used.

A tool magazine of a machine tool holds machining tools of multiple types. The number of stored machining tools of at least one type is more than one. When all the machining tools of the at least one type are unused, a first test-machining step of machining a workpiece using one machining tool of each type is performed. When the machined product is graded as acceptable, a second test-machining step of replacing the machining tool of the at least one type with an unused machining tool in the tool magazine and machining a new workpiece using the one machining tool of each type is performed. The second test-machining step is repeated until all the machining tools are used.

A chain wear system for monitoring an amount of wear of a chain operating on a plurality of sprockets may include a chain monitoring device configured for determining a length of the chain passing by a point in an amount of time, a sprocket monitoring device configured for determining the amount of sprocket rotation of at least one of the plurality of sprockets in the amount of time, and a processing system in signal communication with the chain monitoring device and the sprocket monitoring device. The processing system may be configured for calculating the amount of wear based on the length of the chain and the amount of sprocket rotation.

A chain wear system for monitoring an amount of wear of a chain operating on a plurality of sprockets may include a chain monitoring device configured for determining a length of the chain passing by a point in an amount of time, a sprocket monitoring device configured for determining the amount of sprocket rotation of at least one of the plurality of sprockets in the amount of time, and a processing system in signal communication with the chain monitoring device and the sprocket monitoring device. The processing system may be configured for calculating the amount of wear based on the length of the chain and the amount of sprocket rotation.

In a method for determining vibrations generated by a device, first vibration measurements are received from a first accelerometer coupled to the device, the first vibration measurements comprising a first device vibration contribution and a first environmental vibration contribution, wherein the device is located within an environment comprising a plurality of devices capable of generating vibrations. Second vibration measurements are received from a second accelerometer located within the environment and not connected to the device, the second vibration measurements comprising a second device vibration contribution and a second environmental vibration contribution. The first vibration measurements and the second vibration measurements are compared. Based on the comparing, the first device vibration contribution is estimated. An operational condition of the device is determined based on the estimating, wherein the operational condition is indicative of device performance that may be impacted by device vibration contributions.

Systems, methods, and computer program products for monitoring a health condition of a tool. Operational data is collected from a machine while the machine is operating in a predetermined manner with the tool in each of at least two known health conditions. A plurality of features is extracted from the operational data, a training dataset is generated from the extracted features, and an analytic model is trained using the training dataset. The analytic model can then be used to determine the health condition of the tool by providing features extracted from operational data received from one or more field machines to the analytic model. The analytic model may then determine a health condition of the tool in the field machine based on like features extracted from the operational data from the one or more field machines.

Systems, methods, and computer program products for monitoring a health condition of a tool. Operational data is collected from a machine while the machine is operating in a predetermined manner with the tool in each of at least two known health conditions. A plurality of features is extracted from the operational data, a training dataset is generated from the extracted features, and an analytic model is trained using the training dataset. The analytic model can then be used to determine the health condition of the tool by providing features extracted from operational data received from one or more field machines to the analytic model. The analytic model may then determine a health condition of the tool in the field machine based on like features extracted from the operational data from the one or more field machines.