Methods, systems, and apparatuses are provided for detecting conditions associated with a fluid conduit. An apparatus includes an insert having an internal conduit to connect with the fluid conduit and a plenum volume, and a detection device including a housing connected to the insert within the plenum volume, an acoustic sensor to receive acoustic signals, an acoustic exciter to apply acoustic signals to the housing, and a controller. The controller is electrically connected to the acoustic sensor and the acoustic exciter. The controller is configured to cause the acoustic exciter to apply an input acoustic signal to the housing, receive the acoustic signals from the housing using the acoustic sensor, analyze the received acoustic signals to determine a pipe condition of a pipe defining the fluid conduit or fluidically connected to the fluid conduit, and cause data representative of the pipe condition to be transmitted to an external device.

A water leakage monitoring system for a water and sewage pipe is provided. The water leakage monitoring system includes a plurality of sound detection devices installed in the water and sewage pipe to be spaced apart from each other, configured to operate for a predetermined operation time to detect a sound of water flowing inside the water and sewage pipe, and to record the sound of water for the predetermined recording time when a water leakage sound is detected during a detection operation, and a water leakage monitoring server configured to receive water leakage information including the recorded sound of water from a pair of neighboring sound detection devices detecting a water leakage sound among the plurality of sound detection devices and to generate detailed water leakage information by using the received water leakage information.

In a canister horizontally installed and housed inside a concrete silo, at least two temperatures out of a temperature T.sub.B at a canister bottom portion to be one end portion in a lateral direction in a horizontally-installed attitude, a temperature T.sub.SB at a canister side surface lower portion located below a horizontal plane passing through a center of the canister, a temperature T.sub.T at a canister lid portion to be the other end portion in the lateral direction, and a temperature T.sub.ST at a canister side surface upper portion located above the horizontal plane passing through the center of the canister are monitored, and occurrence of leakage of an inert gas inside the canister is detected when there is a change in a temperature difference between the at least two temperatures.

In a canister horizontally installed and housed inside a concrete silo, at least two temperatures out of a temperature T.sub.B at a canister bottom portion to be one end portion in a lateral direction in a horizontally-installed attitude, a temperature T.sub.SB at a canister side surface lower portion located below a horizontal plane passing through a center of the canister, a temperature T.sub.T at a canister lid portion to be the other end portion in the lateral direction, and a temperature T.sub.ST at a canister side surface upper portion located above the horizontal plane passing through the center of the canister are monitored, and occurrence of leakage of an inert gas inside the canister is detected when there is a change in a temperature difference between the at least two temperatures.

Improved inspection techniques are described herein for identifying leaks in a plugged honeycomb body. The improved inspection techniques utilize a pore impediment and a test gas. The pore impediment is injected into the plugged honeycomb body, and the test gas is forced into the plugged honeycomb body. A thermal detector is used to collect thermal data from an inspection region of an outlet end of the plugged honeycomb body, and the thermal data is used to identify defects in the plugged honeycomb body.

In a test leakage device (10) for testing the functionality and for calibrating a gas leak detection device having an evacuable test chamber (34) for receiving a test object and the test leakage device (10), wherein the test leakage device (10) has a base (12), a cover (16) and at least one side wall (14) connecting the base (12) to the cover (16), which surround an interior space (20) which can be filled with a test gas or a test liquid, provision is made for the base (12) to have a membrane (24) which is permeable to the test gas or constituents of the test liquid, and for mutually opposite sections of that inner side (18) of the side wall (14) which faces the interior space (20) to be at a greater distance from one another in the region of the cover than in the region of the base.

A pipeline inspection device, including a rotatable drum housing a cable, where the cable is extendable into a pipe, a camera positioned on an end of the cable, and a hub housing electrical components of the pipeline inspection device and including a battery housing. A stand includes a mounting assembly having a first portion rotatably supporting the drum and a second portion supporting the hub within an interior of the drum, the second portion including a core, where the hub is removably coupled to the mounting assembly via the core. The hub is removably coupled to the mounting assembly by a first engagement member on the hub and a second engagement member on the core.

An improved solution accurately predicts of an underground pipe's likelihood of leaking. A data-driven approach uses a combination of information acquisition, classification, regression and/or machine learning. The replacement of underground pipes can be prioritized. Pipe data is inputted and processed. Potential features within the cleaned data is used in pipe life of failure prediction models. The importance of the potential features is ranked. The most important features are extracted and applied to a likelihood of failure model that is created based on historical data and machine learning. Future likelihood of failure for each pipe in the network of pipes can be predicted using the model.

An improved solution accurately predicts of an underground pipe's likelihood of leaking. A data-driven approach uses a combination of information acquisition, classification, regression and/or machine learning. The replacement of underground pipes can be prioritized. Pipe data is inputted and processed. Potential features within the cleaned data is used in pipe life of failure prediction models. The importance of the potential features is ranked. The most important features are extracted and applied to a likelihood of failure model that is created based on historical data and machine learning. Future likelihood of failure for each pipe in the network of pipes can be predicted using the model.

A method for detecting a small hydraulic leak of braking fluid in a vehicle, the vehicle having at least a first braking circuit and a second braking circuit, the method includes determining whether system braking pressure falls within a predetermined range, determining whether leakage exists in the braking circuits, determining whether the vehicle is in secure standstill, monitoring small leakage of a braking circuit while the vehicle is in secure standstill if leakage was detected and the vehicle is in the secure standstill, and isolating at least one of the braking circuits if a leakage exists in one of the braking circuits.