By monitoring pressure transients in a liquid within a liquid distribution system using only a single sensor, events such as the opening and closing of valves at specific fixtures are readily detected. The sensor, which can readily be coupled to a faucet bib, transmits an output signal to a computing device. Each such event can be identified by the device based by comparing characteristic features of the pressure transient waveform with previously observed characteristic features for events in the system. These characteristic features, which can include the varying pressure, derivative, and real Cepstrum of the pressure transient waveform, can be used to select a specific fixture where a valve open or close event has occurred. Flow to each fixture and leaks in the system can also be determined from the pressure transient signal. A second sensor disposed at a point disparate from the first sensor provides further event information.

By monitoring pressure transients in a liquid within a liquid distribution system using only a single sensor, events such as the opening and closing of valves at specific fixtures are readily detected. The sensor, which can readily be coupled to a faucet bib, transmits an output signal to a computing device. Each such event can be identified by the device based by comparing characteristic features of the pressure transient waveform with previously observed characteristic features for events in the system. These characteristic features, which can include the varying pressure, derivative, and real Cepstrum of the pressure transient waveform, can be used to select a specific fixture where a valve open or close event has occurred. Flow to each fixture and leaks in the system can also be determined from the pressure transient signal. A second sensor disposed at a point disparate from the first sensor provides further event information.

A leak tester of the present disclosure includes: an air pump for supplying air into the endoscope device; a pressure sensor that detects a pressure inside the endoscope device, and a control unit that controls operation of the air pump and the pressure sensor. The control unit executes: a first process of judging whether an internal pressure of the endoscope device has dropped by a first pressure value within a first time span after start of a wet test; a second process of judging whether the internal pressure has further dropped by a second pressure value different from the first pressure value within a second time span different from the first time span in a case where the internal pressure has dropped by the first pressure value in the first process; and a process of judging pass or fail in the wet test.

A leak tester of the present disclosure includes: an air pump for supplying air into the endoscope device; a pressure sensor that detects a pressure inside the endoscope device, and a control unit that controls operation of the air pump and the pressure sensor. The control unit executes: a first process of judging whether an internal pressure of the endoscope device has dropped by a first pressure value within a first time span after start of a wet test; a second process of judging whether the internal pressure has further dropped by a second pressure value different from the first pressure value within a second time span different from the first time span in a case where the internal pressure has dropped by the first pressure value in the first process; and a process of judging pass or fail in the wet test.

An actuator system includes a piston-cylinder arrangement including a piston that is movable with respect to a cylinder. A first flow path is in fluid communication with the piston-cylinder arrangement and a second flow path is in fluid communication with the piston-cylinder arrangement. A control system is operable to fluidly connect the first flow path to a source of high-pressure fluid and to connect the second flow path to a drain to move the piston in a first direction. A pressure sensor is fluidly connected to the first flow path and is operable to measure sufficient pressure data during the movement of the piston to generate a pressure versus time curve. The control system is operable to compare the generated pressure versus time curve to a known standard pressure versus time curve stored in the control system to determine the condition of the piston-cylinder arrangement.

An actuator system includes a piston-cylinder arrangement including a piston that is movable with respect to a cylinder. A first flow path is in fluid communication with the piston-cylinder arrangement and a second flow path is in fluid communication with the piston-cylinder arrangement. A control system is operable to fluidly connect the first flow path to a source of high-pressure fluid and to connect the second flow path to a drain to move the piston in a first direction. A pressure sensor is fluidly connected to the first flow path and is operable to measure sufficient pressure data during the movement of the piston to generate a pressure versus time curve. The control system is operable to compare the generated pressure versus time curve to a known standard pressure versus time curve stored in the control system to determine the condition of the piston-cylinder arrangement.

In some implementations, a controller may obtain, during an event, pressure data regarding an amount of pressure of fluid associated with a component of the machine. The controller may obtain, during the event, flow data regarding a flow of the fluid associated with the component of the machine. The controller may determine, based on the pressure data and the flow data, an amount of wear of a track of the machine. The controller may perform an action based on the amount of wear of the track of the machine.

A leak detection module (LDM) includes a housing, a canister valve solenoid (CVS) that is arranged within the housing and in fluid communication along a first fluid passageway between first and second ports. The module also includes a pump that is arranged within the housing and is in fluid communication with the first and second ports, and a pressure sensor that is in fluid communication with at least one of the first and second ports. A first controller is arranged in the housing and is in communication with the pump, the CVS and the pressure sensor. The first controller runs a test procedure using the pump and operating the CVS between open and closed positions to monitor a pressure within the module. The first controller communicates a result based upon the monitored pressure to a second controller that is arranged outside the housing and remotely from the module.

Methods, systems, and devices for electronic rack level testing and/or verification are disclosed. The disclosed systems may provide for automated testing of electronic racks that may include fluid recirculation systems. To provide for automated testing, a test unit of a system may automatically and without manual intervention circulate coolant to an electronic rack under test. The testing unit may also pressurize the electronic rack. The testing unit may further depressurize the electronic rack to provide for efficient delivering, deployment commissioning, and reduce the likelihood of coolant circulation issues occurring when initially deployed. A testing server of the system may also provide for load testing and thermal cycling of the electronic rack in an automated manner.

Method for detecting a failure in a pneumatic system of a vehicle, the pneumatic system comprising a supply pneumatic subsystem comprising supply lines, a control pneumatic subsystem comprising control lines, a delivery pneumatic subsystem comprising delivery lines, the vehicle comprising an electronic control unit configured to implement a trained supply recurrent neural network, a trained control recurrent neural network, a trained delivery recurrent neural network, and a trained main recurrent neural network; the method comprising collect and provide the input parameters to the trained recurrent neural networks to get a output from recurrent neural networks; provide the input parameters and the output parameters from recurrent neural networks to get a main output indicative of a pneumatic system health parameter indicative of a presence or an absence of a failure in one of the supply pneumatic subsystem, or the control pneumatic subsystem, or the delivery pneumatic subsystem of the pneumatic system.