A system and method for predicting the failure and estimating the health of the industrial equipment or industrial measurement equipment and diagnosing the root cause of the incipient failures is provided. The system and method are applicable to different types of flow meters used in flow measurement applications and other industrial equipment or industrial measurement equipment. A means to detect anomalies in the industrial equipment or industrial measurement equipment diagnostic signals is provided and thereby allowing incipient failure prediction. The system and method provides the means to calculate the current state of health of the industrial equipment or industrial measurement equipment. Leading indicator/failed component in the industrial equipment or industrial measurement equipment can be tracked down in the event of a failure. The system and method provides the means to label the normal and abnormal periods in the historical data based on the available diagnostic alarms and signals.

The test lab set-up includes a test flow bench for mounting one or more test devices, an adjustable nozzle for simulating urine flow, and a sensor for collecting data associated with the simulated urine flowing through the test device(s). A computing device for measuring and/or calculating various parameters associated with the simulated urine flow may also be included. The test device may have a shape corresponding to a handheld uroflowmeter subject to testing. The angle of the adjustable nozzle may be adjusted to test for various angles of urine flow. Similarly, the angle, pitch, and roll of the test device may be adjusted to test for various angles at which a uroflowmeter is held. As fluid flows through the test device, the sensor collects information such as, for example, flow rate, duration, volume, and the like. The sensor transmits the data collected to a computing device for additional processing.

The test lab set-up includes a test flow bench for mounting one or more test devices, an adjustable nozzle for simulating urine flow, and a sensor for collecting data associated with the simulated urine flowing through the test device(s). A computing device for measuring and/or calculating various parameters associated with the simulated urine flow may also be included. The test device may have a shape corresponding to a handheld uroflowmeter subject to testing. The angle of the adjustable nozzle may be adjusted to test for various angles of urine flow. Similarly, the angle, pitch, and roll of the test device may be adjusted to test for various angles at which a uroflowmeter is held. As fluid flows through the test device, the sensor collects information such as, for example, flow rate, duration, volume, and the like. The sensor transmits the data collected to a computing device for additional processing.

A test barrier, a system incorporating the test barrier, and a method for using the same is disclosed herein. The test barrier is intended for use in testing that may be conducted on sections of an air distribution, HVAC, and other similar systems. The test barrier is comprised of a temporary test barrier portion and a gasket connection portion. The test barrier may be advantageously connected to a rip cord that enables easy removal of the test barrier upon completion of any testing.

Systems and methods are provided for improving statistical and machine learning drift detection models that monitor computing health of a data center environment. For example, the system can receive streams of sensor data from a plurality of sensors in a data center; clean the streams of sensor data; generate, using a machine learning (ML) model, an anomaly score and a dynamic threshold value based on the cleaned streams of sensor data; determine, using the ML model and based on the anomaly score and the dynamic threshold value, a correctness indicator for a first sensor in the plurality of sensors; and using the correctness indicator, correct the first sensor.

Techniques for determining a thermal condition of a pipeline include identifying a pipeline that carries a first fluid at a first temperature that includes a tubular conduit that includes a bore that carries the first fluid, and a layer of insulation installed over the tubular conduit; circulating a second fluid at a second temperature from a bypass conduit that is fluidly coupled to the tubular conduit through the layer of insulation into the bore; based on circulating the second fluid into the bore, detecting a thermal gradient between the first fluid carried in the bore and the tubular conduit or the layer of insulation at a particular location of the pipeline; and based on the detected thermal gradient, determining a presence of at least one of water or water vapor between the tubular conduit and the layer of insulation at the particular location of the pipeline.

An estimation method includes: an acquisition step (S101) of acquiring deflection stress information that indicates a relationship between a deflection and a tensile stress of a specimen (200) of a reinforced concrete structure; and a derivation step (S102) of deriving an estimation formula for estimating a depth of a crack generated in the reinforced concrete structure when a deflection of the reinforced concrete structure is no less than a first deflection of the specimen at a start of a generation of the crack, and is no greater than a second deflection of the specimen at an end of the generation of the crack.

A stress generated in each of a plurality of components is calculated during simulation using a machine including these components. A simulation device includes a storage that stores assembly data of a machine including a plurality of components and a program for control of a driver connected to machine, and a controller configured to execute a simulation of machine. The controller causes driver to operate in the simulation and calculates a stress generated in each of the plurality of components in the simulation in response to driver being driven.

The measurement system 100 includes: a measurement apparatus 20 that measures vibrations of an object 40; an imaging apparatus 30 that is located so as to capture an image of the measurement apparatus 20; and a correction processing apparatus 10. the correction processing apparatus 10 includes: a displacement calculation unit 11 that calculates a displacement of the measurement apparatus 20 based on time-series images of the measurement apparatus 20 output from the imaging apparatus 30; a movement amount calculation unit 12 that calculates an amount of movement of the measurement apparatus 20 relative to the imaging apparatus 30, based on the displacement; and a correction processing unit 13 that corrects vibrations of the object measured by the measurement apparatus 20, using the calculated amount of movement of the measurement apparatus 20.

An indicator generating method for generating an indicator which is suitable for maintenance prediction of a water heating system is proposed. A power state indication device generates a high power consumption signal if a heating device of the water heating system is activated. The time duration of the activation is such an indicator, if no water flow is present. Furthermore, the time interval between subsequent activations is such an indicator. A predictive maintenance method processes these condition-based indicators and determines a remaining useful lifetime according to a predictive maintenance model. The predictive maintenance device outputs a maintenance signal indicating required maintenance, if the remaining useful lifetime drops below a predetermined threshold. The methods may be performed by water heating systems or beverage makers.