Some pressure sensor placement methods for leak detection and location in water distribution networks are based on the pressure sensitivity matrix analysis. This matrix depends on the network demands, which are nondeterministic, and the leak magnitudes, which are unknown. In this paper, the robustness of a sensor placement methodology against the fault sensitivity matrix uncertainty is studied....

Pipeline leak detection is an important part of pipeline safety, which is usually carried out by extracting feature vectors of leakage signal. However, the complexity of the leakage acoustic emission signal makes the extraction of feature vectors very difficult. To solve this problem, the authors propose an improved wavelet packet algorithm to extract the feature vectors which are constituted b...

Original scientific paper From the view of time sequence, a petroleum pipeline leak detection and location method is proposed based on intuitionistic fuzzy set theory. The method uses wavelet decomposition and semi-hard-and-soft thresholding method to remove the noise of signal. Secondly, selecting fixed-length normal dynamic pressure wave signal sequences as the template sequence, and the same...

The following position statement is issued by the American Society for Metabolic and Bariatric Surgery in response to numerous inquiries made to the Society by patients, physicians, society members, hospitals, health insurance payors, the media, and others, regarding the complication of gastrointestinal leak after gastrointestinal bariatric procedures. In this statement, available data regardin...

The leak localization community is very active and the Research Centre for Supervision, Safety and Automatic Control (CS2AC) is specially implicated in such an important issue. We have developed a methodology for leak localization using pressure measurements and hydraulic models. It is based on the fault detection and isolation theory and it evolved from a first version where binary residuals w...

The effectiveness of garbage collectors and leak detectors in identifying dead objects depends on the “accuracy” of their reachability traversal. Accuracy has two orthogonal dimensions: (i) whether the reachability traversal can distinguish between pointers and non-pointers (type accuracy), and (ii) whether the reachability traversal can identify memory locations that will be dereferenced in th...

Belief rule based expert systems are an extension of traditional rule based systems and are capable of representing more complicated causal relationships using different types of information with uncertainties. This paper describes how the belief rule based expert systems can be trained and used for pipeline leak detection. Pipeline operations under different conditions are modelled by a belief...

In this paper, a leak detection, isolation and estimation methodology in pressurized water pipe networks is proposed. The methodology is based on computing residuals which are obtained comparing measured pressures (heads) in selected points of the network with their estimated values by means of a Linear Parameter Varying (LPV) model and zonotopes. The structure of the LPV model is obtained from...

The detection and assessment of leakage in retinal fluorescein angiogram images is important for the management of a wide range of retinal diseases. We have developed a framework that can automatically detect three types of leakage (large focal, punctate focal, and vessel segment leakage) and validated it on images from patients with malarial retinopathy. This framework comprises three steps: v...

Persistent pulmonary air leak affects between 10-15% of surgical procedures, generally requiring management through the use conventional chest drainage systems (water-sealed pleural chamber) subjective interpretation due to poor detection sensitivity. leaks, resulting in increased morbidity, hospital stay, and costs.