The paper integrates some earlier and the recent findings of the author in the area of network internal reliability and presents a consistent system of concepts in this respect. The concepts of outlier detection and outlier identification linked directly with the global model test and the outlier tests respectively, are shown as a basis for the concepts such as outlier detectability and outlier identifiability. Also, a four level classification of gross errors expressed in a form of a tree-diagram is presented including perceptible and imperceptible errors, detectable and undetectable errors and identifiable and unidentifiable errors. Their properties are given mainly in a descriptive way, deliberately limiting rigorous mathematical formulas to a necessary minimum. Understanding of different types of gross errors is useful in analyzing the results of the outlier detection and identification procedures as well as in designing the networks to make them duly robust to observation gross errors. It is of special importance for engineering surveys where quite often low-redundancy networks are used. Main objective of the paper is to demonstrate a clear and consistent system of basic concepts related to network internal reliability.
Geodetic engineering surveys are an important part of the works carried out by the Faculty of Geodesy and Cartography, Warsaw University of Technology. These works concern measurement techniques as well as advanced result analysis methods applied in precise industrial surveys and in processes controlling object’s behaviour over time.
The thematic scope of research realised by Chair of Engineering Geodesy and Control-Measuring Systems shows that article related to geodetic engineering measurements and geodetic monitoring is carried out with high intensity, resulting in technological advancement and implementation of new or improved measurement solutions and methods of measurement result development.