A method of detecting a leak-induced abnormal condition in a fluid line system having a plurality of heaters includes determining a plurality of temperature characteristics at a plurality of locations of the fluid line system, where each temperature from among the plurality of temperature characteristics is associated with at least one heater from among the plurality of heaters and monitoring, for each of the plurality of heaters, an electrical characteristic of the heater. The method includes determining the leak-induced abnormal condition is present within the fluid line system in response to the electrical characteristic of a given heater from among the plurality of heaters and the temperature characteristic associated with the given heater satisfying a temperature-and-electrical characteristics (TEC) deviation condition and performing a corrective action in response to determining the leak-induced abnormal condition is present.

A flow detector for detecting flow rates of fluid in pipes by measuring the temperature of the pipe and the ambient temperature and determining from the signals whether there is a flow in the pipe, by the shape of the temperature signals without providing any heat input to the pipe or fluid.

A pipe inspection system including a camera head, a push-cable, and a controller platform for use in inspecting pipes or other cavities is disclosed.

A method for determining whether a sealing area of a primary packaging container for an ophthalmic lens is unacceptable for properly sealing a foil to the sealing area is disclosed. The method involves comparing the temperature of an infrared image of the sealing area to a reference temperature to determine if the difference in temperature exceeds a predetermined threshold.

Disclosed herein is a method and system for predicting water leakage events in district metered area of water distribution network. The method comprises receiving historic data of water flow and water pressure associated with DMA for predicting flow data and pressure data of water in the DMA for predefined future time period. Thereafter, method comprises retrieving plurality of cluster points corresponding to the predicted flow data, the pressure data, and an anomaly score identified for each of the plurality of cluster points from machine learning model. The method detects one or more cluster points as anomaly points by comparing anomaly scores with lower bound value and upper bound value and thereafter predicts leakage events corresponding to each of the detected anomaly points. In this manner, present disclosure predicts water leakage events in DMA for future time intervals and hence necessary leakage maintenance actions may be taken to avoid such events.

Disclosed herein is a method and system for predicting water leakage events in district metered area of water distribution network. The method comprises receiving historic data of water flow and water pressure associated with DMA for predicting flow data and pressure data of water in the DMA for predefined future time period. Thereafter, method comprises retrieving plurality of cluster points corresponding to the predicted flow data, the pressure data, and an anomaly score identified for each of the plurality of cluster points from machine learning model. The method detects one or more cluster points as anomaly points by comparing anomaly scores with lower bound value and upper bound value and thereafter predicts leakage events corresponding to each of the detected anomaly points. In this manner, present disclosure predicts water leakage events in DMA for future time intervals and hence necessary leakage maintenance actions may be taken to avoid such events.

An in-line inspection tool for a pipeline comprises a body defining an axis, a sensor module coupled to the body, and a drive cup coupled to the body. The drive cup includes an outer surface with a plurality of axial channels, each of the axial channels including at least one bridge positioned therein that extends circumferentially across the channel.

The invention concerns the field of container closure integrity (CCI) and the testing of CCI and relates to a device and a method for leakage testing of a connection between a rubber stopper and a corresponding drug container which can be used for storing drugs under sterile conditions and which is closed by said rubber stopper.

A method of distributed fibre optic sensing is described. In an example, a series of interrogations are launched into an optical fibre, each interrogation comprising interrogating radiation in at least one pulse pair, wherein the pulses of a pulse pair are introduced to the optical fibre with a time interval therebetween. Radiation backscattered therefrom is sampled, so as to obtain at least one sample from each interrogation. Phase modulation in the samples is determined and components of the phase modulation which are below a threshold frequency are isolated. Such a method of sensing could be used, for example, to monitor changes in temperature of the optical fibre.

A sensing assembly comprising includes one or more sensing elements formed as a tube. The sensing assembly also includes one or more clamps to secure the one or more sensing elements. Each of the one or more clamps includes a recess in which each of the one or more sensing elements is seated.