Class List

Here are the classes, structs, unions and interfaces with brief descriptions:

[detail level 1234]

▼Nfosanalysis	Central package of fosanalysis
▼Ncompensation	Contains modules for compensating physical influences on the strain measurements
▼Ncompensator	Implements the base class for all compensator classes
CCompensator	Base for compensation classes
▼Nshrinking	Contains functionality to compensate shrinking and creep
CShrinkCompensator	Implements compensation for shrink and creeping of concrete
▼Ntensionstiffening	Contains class definitions for tension stiffening influences for concrete embedded and reinforcement attached sensors
CBerrocal	Implements the tension stiffening approach according to the proposal by [2]
CFischer	Implements the tension stiffening approach based on [3]
CTensionStiffeningCompensator	Abstract base class for tension stiffening compensation approaches
▼Ncrackmonitoring	Contains modules related to crack monitoring of concrete structures
▼Ncracks	Contains class definitions for Crack and CrackList
CCrack	A Crack object presents a crack in concrete with its properties
CCrackList	List of crack objects
▼Nfinding	Contains functionality to find potential crack locations
CCrackFinder	Object to identify potential crack positions
▼Nseparation	Contains functionality to separate cracks and set transfer lengths
CCrackLengths	Assigns the transfer length to a all cracks.Crack objects in a cracks.CrackList
▼Nstrainprofile	Contains class definitions for strain profiles and cracks
CConcrete	The strain profile is assumed to be from a sensor embedded directly in the concrete
CRebar	The strain profile is assumed to be from a sensor attached to a reinforcement rebar
CStrainProfile	Hold the strain data and methods to identify cracks and calculate the crack widths
▼Ndatahandling	Contains modules to handle measurement data generated by the ODiSI Software
▼Nfilehandler	Contains class implementations to get file content of ODiSI generated data
CFileHandler	File handler class to get measurement data from sensors
▼Nfilereader	Contains class implementations to read ODiSI sensor data
CDatReader	File reader class for the .dat measurement files recorded by the ODiSI 6100 series interrogators by Luna Inc LunaInnovations2020
CFileReader	Abstract class
CSensorInfo	Class to hold sensor specific data (name, serial number, ...)
CTsvReader	File reader class for the .tsv measurement files exported by the ODiSI 6100 series interrogators by Luna Inc LunaInnovations2020
▼Npreprocessing	Contains modules for data preprocessing, like:
▼Nbase	Contains the base class for all preprocessing classes
CBase	Abstract base class for preprocessing classes
CTask	Abstract base class for preprocessing task classes
▼Nfiltering	Contains class definitions for filtering algorithms
CCluster	The Cluster filter is an iterative smoothing algorithm guaranteed to converge [5]
CFilter	Abstract base class for filter classes
CLimit	A filter to limit the entries
CSlidingFilter	Abstract base class for filter classes, based on sliding windows
▼Nmasking	Contains class implementations to remove implausible values from strain data
CAnomalyMasker	Abstract class for anomaly identification
CGTM	The geometric threshold method (GTM) identifies SRAs by comparing the strain increments to a threshold
CModifiedZscoreDetection	Class for the modified z-score approach for spike detection
COSCP	Class for outlier detection an cancellation based on the outlier specific correction procedure (OSCP) as originally presented in [7] and [8]
CSlidingModifiedZscore	Class that calculates the modified zscore over a moving window
CWhitakerAndHayes	The Whitaker & Hayes algorithm uses the high intensity and small width of spikes
CZscoreOutlierDetection	Class for the standard z-score approach for spike detection
CZSOD	Abstract base class for outlier detection by different kinds of z-scores
▼Nrepair	Contains class implementations, for strain function repair algorithms
CNaNFilter	A filter, that removes any columns from a given number of data sets (matrix), that contain not a number entries
CRepair	Base class for algorithms to replace/remove missing data with plausible values
CScipyInterpolation1D	Replace dropouts (NaNs) with values interpolated by the given method
▼Nresizing	Contains functionality for resizing data:
CAggregate	Change the dimension of an array using aggregate functions (such as mean, median, min or max)
CCrop	Object, for cropping data sets and saving the preset
CDownsampler	Class for reducing strain data size while keeping the data loss small by combining several values into one value
CResampler	Class for resampling one-dimensional or two-dimensional strain data
CResizing	Base class for algorithms to replace/remove missing data with plausible values
CPreprocessing	Container for several preprocessing task, that are carried out in sequential order
▼Nprotocols	Contains functionality for interfacing files and network ports
CODiSI6100TSVFile	Data inferface for the .tsv measurement files exported by the ODiSI 6100 series interrogators by Luna Inc [6]
CProtocol	Abstract class, which specifies the basic interfaces a protocol must implement
CSensorRecord	A single record of the distributed fiber optic strain sensing data
▼Nutils	Contains utility modules with general pupose
▼Nbase	Contains abstract base classes
CBase	Abstract base class, which deals with superflous constructor arguments
CTask	This intermediate class indicates, that a sub-class is implementing a task
CWorkflow	This intermediate class indicates, that a sub-class is implementing a workflow
▼Nintegration	Contains functionality for integrating discretized funtions
CIntegrator	Object to integrate a function \(y = f(x)\) given by discrete argument data \(x\) and associated values \(y\)