Wolfram Language Paclet Repository
Community-contributed installable additions to the Wolfram Language
AntonAntonov/
Reliability
Reliability-related algorithms and tools
Contributed by: Anton Antonov
Reliability-related algorithms and know-how
Installation Instructions
To install this paclet in your Wolfram Language environment,
evaluate this code:
PacletInstall["AntonAntonov/ReliabilityTools"]
To load the code after installation, evaluate this code:
Needs["AntonAntonov`ReliabilityTools`"]
Details
The paclet has several types of functions for doing Reliability Analysis (RA): statistical modeling, visualization graphs, data parsers and converters.
Paclet Guide
Examples
Basic Examples (3)
Here is faults data:
| In[1]:= | ![data = {0.7, 2.4, 8.2, 11.3, 12.1, 17.6, 18.9, 20.4, 21.9, 23.2, 25.7,
42.8, 48.0, 56.3, 65.1};
ListPlot[data, PlotRange -> All, PlotTheme -> "Detailed"]](https://www.wolframcloud.com/obj/resourcesystem/images/9ec/9ec1b229-e85a-4d2d-a401-5a50bbb34365/191aec2eb240d862.png){kind=small} |
| Out[2]= |  |
Here the Crow AMSAA method is applied:
| In[3]:= | ![InterpretationBox[FrameBox[TagBox[TooltipBox[PaneBox[GridBox[List[List[GraphicsBox[List[Thickness[0.0025`], List[FaceForm[List[RGBColor[0.9607843137254902`, 0.5058823529411764`, 0.19607843137254902`], Opacity[1.`]]], FilledCurveBox[List[List[List[0, 2, 0], List[0, 1, 0], List[0, 1, 0], List[0, 1, 0], List[0, 1, 0]], List[List[0, 2, 0], List[0, 1, 0], List[0, 1, 0], List[0, 1, 0], List[0, 1, 0]], List[List[0, 2, 0], List[0, 1, 0], List[0, 1, 0], List[0, 1, 0], List[0, 1, 0], List[0, 1, 0]], List[List[0, 2, 0], List[1, 3, 3], List[0, 1, 0], List[1, 3, 3], List[0, 1, 0], List[1, 3, 3], List[0, 1, 0], List[1, 3, 3], List[1, 3, 3], List[0, 1, 0], List[1, 3, 3], List[0, 1, 0], List[1, 3, 3]]], List[List[List[205.`, 22.863691329956055`], List[205.`, 212.31669425964355`], List[246.01799774169922`, 235.99870109558105`], List[369.0710144042969`, 307.0436840057373`], List[369.0710144042969`, 117.59068870544434`], List[205.`, 22.863691329956055`]], List[List[30.928985595703125`, 307.0436840057373`], List[153.98200225830078`, 235.99870109558105`], List[195.`, 212.31669425964355`], List[195.`, 22.863691329956055`], List[30.928985595703125`, 117.59068870544434`], List[30.928985595703125`, 307.0436840057373`]], List[List[200.`, 410.42970085144043`], List[364.0710144042969`, 315.7036876678467`], List[241.01799774169922`, 244.65868949890137`], List[200.`, 220.97669792175293`], List[158.98200225830078`, 244.65868949890137`], List[35.928985595703125`, 315.7036876678467`], List[200.`, 410.42970085144043`]], List[List[376.5710144042969`, 320.03370475769043`], List[202.5`, 420.53370475769043`], List[200.95300006866455`, 421.42667961120605`], List[199.04699993133545`, 421.42667961120605`], List[197.5`, 420.53370475769043`], List[23.428985595703125`, 320.03370475769043`], List[21.882003784179688`, 319.1406993865967`], List[20.928985595703125`, 317.4896984100342`], List[20.928985595703125`, 315.7036876678467`], List[20.928985595703125`, 114.70369529724121`], List[20.928985595703125`, 112.91769218444824`], List[21.882003784179688`, 111.26669120788574`], List[23.428985595703125`, 110.37369346618652`], List[197.5`, 9.87369155883789`], List[198.27300024032593`, 9.426692008972168`], List[199.13700008392334`, 9.203690528869629`], List[200.`, 9.203690528869629`], List[200.86299991607666`, 9.203690528869629`], List[201.72699999809265`, 9.426692008972168`], List[202.5`, 9.87369155883789`], List[376.5710144042969`, 110.37369346618652`], List[378.1179962158203`, 111.26669120788574`], List[379.0710144042969`, 112.91769218444824`], List[379.0710144042969`, 114.70369529724121`], List[379.0710144042969`, 315.7036876678467`], List[379.0710144042969`, 317.4896984100342`], List[378.1179962158203`, 319.1406993865967`], List[376.5710144042969`, 320.03370475769043`]]]]], List[FaceForm[List[RGBColor[0.5529411764705883`, 0.6745098039215687`, 0.8117647058823529`], Opacity[1.`]]], FilledCurveBox[List[List[List[0, 2, 0], List[0, 1, 0], List[0, 1, 0], List[0, 1, 0]]], List[List[List[44.92900085449219`, 282.59088134765625`], List[181.00001525878906`, 204.0298843383789`], List[181.00001525878906`, 46.90887451171875`], List[44.92900085449219`, 125.46986389160156`], List[44.92900085449219`, 282.59088134765625`]]]]], List[FaceForm[List[RGBColor[0.6627450980392157`, 0.803921568627451`, 0.5686274509803921`], Opacity[1.`]]], FilledCurveBox[List[List[List[0, 2, 0], List[0, 1, 0], List[0, 1, 0], List[0, 1, 0]]], List[List[List[355.0710144042969`, 282.59088134765625`], List[355.0710144042969`, 125.46986389160156`], List[219.`, 46.90887451171875`], List[219.`, 204.0298843383789`], List[355.0710144042969`, 282.59088134765625`]]]]], List[FaceForm[List[RGBColor[0.6901960784313725`, 0.5882352941176471`, 0.8117647058823529`], Opacity[1.`]]], FilledCurveBox[List[List[List[0, 2, 0], List[0, 1, 0], List[0, 1, 0], List[0, 1, 0]]], List[List[List[200.`, 394.0606994628906`], List[336.0710144042969`, 315.4997024536133`], List[200.`, 236.93968200683594`], List[63.928985595703125`, 315.4997024536133`], List[200.`, 394.0606994628906`]]]]]], List[Rule[BaselinePosition, Scaled[0.15`]], Rule[ImageSize, 10], Rule[ImageSize, 15]]], StyleBox[RowBox[List["CrowAMSAAForecast", " "]], Rule[ShowAutoStyles, False], Rule[ShowStringCharacters, False], Rule[FontSize, Times[0.9`, Inherited]], Rule[FontColor, GrayLevel[0.1`]]]]], Rule[GridBoxSpacings, List[Rule["Columns", List[List[0.25`]]]]]], Rule[Alignment, List[Left, Baseline]], Rule[BaselinePosition, Baseline], Rule[FrameMargins, List[List[3, 0], List[0, 0]]], Rule[BaseStyle, List[Rule[LineSpacing, List[0, 0]], Rule[LineBreakWithin, False]]]], RowBox[List["PacletSymbol", "[", RowBox[List["\"AntonAntonov/ReliabilityTools\"", ",", "\"AntonAntonov`ReliabilityTools`CrowAMSAAForecast\""]], "]"]], Rule[TooltipStyle, List[Rule[ShowAutoStyles, True], Rule[ShowStringCharacters, True]]]], Function[Annotation[Slot[1], Style[Defer[PacletSymbol["AntonAntonov/ReliabilityTools", "AntonAntonov`ReliabilityTools`CrowAMSAAForecast"]], Rule[ShowStringCharacters, True]], "Tooltip"]]], Rule[Background, RGBColor[0.968`, 0.976`, 0.984`]], Rule[BaselinePosition, Baseline], Rule[DefaultBaseStyle, List[]], Rule[FrameMargins, List[List[0, 0], List[1, 1]]], Rule[FrameStyle, RGBColor[0.831`, 0.847`, 0.85`]], Rule[RoundingRadius, 4]], PacletSymbol["AntonAntonov/ReliabilityTools", "AntonAntonov`ReliabilityTools`CrowAMSAAForecast"], Rule[Selectable, False], Rule[SelectWithContents, True], Rule[BoxID, "PacletSymbolBox"]][data]](https://www.wolframcloud.com/obj/resourcesystem/images/9ec/9ec1b229-e85a-4d2d-a401-5a50bbb34365/425dd10c1763380a.png){kind=small} |
| Out[3]= |  |
Here is growth tracking plot:
| In[4]:= | ![InterpretationBox[FrameBox[TagBox[TooltipBox[PaneBox[GridBox[List[List[GraphicsBox[List[Thickness[0.0025`], List[FaceForm[List[RGBColor[0.9607843137254902`, 0.5058823529411764`, 0.19607843137254902`], Opacity[1.`]]], FilledCurveBox[List[List[List[0, 2, 0], List[0, 1, 0], List[0, 1, 0], List[0, 1, 0], List[0, 1, 0]], List[List[0, 2, 0], List[0, 1, 0], List[0, 1, 0], List[0, 1, 0], List[0, 1, 0]], List[List[0, 2, 0], List[0, 1, 0], List[0, 1, 0], List[0, 1, 0], List[0, 1, 0], List[0, 1, 0]], List[List[0, 2, 0], List[1, 3, 3], List[0, 1, 0], List[1, 3, 3], List[0, 1, 0], List[1, 3, 3], List[0, 1, 0], List[1, 3, 3], List[1, 3, 3], List[0, 1, 0], List[1, 3, 3], List[0, 1, 0], List[1, 3, 3]]], List[List[List[205.`, 22.863691329956055`], List[205.`, 212.31669425964355`], List[246.01799774169922`, 235.99870109558105`], List[369.0710144042969`, 307.0436840057373`], List[369.0710144042969`, 117.59068870544434`], List[205.`, 22.863691329956055`]], List[List[30.928985595703125`, 307.0436840057373`], List[153.98200225830078`, 235.99870109558105`], List[195.`, 212.31669425964355`], List[195.`, 22.863691329956055`], List[30.928985595703125`, 117.59068870544434`], List[30.928985595703125`, 307.0436840057373`]], List[List[200.`, 410.42970085144043`], List[364.0710144042969`, 315.7036876678467`], List[241.01799774169922`, 244.65868949890137`], List[200.`, 220.97669792175293`], List[158.98200225830078`, 244.65868949890137`], List[35.928985595703125`, 315.7036876678467`], List[200.`, 410.42970085144043`]], List[List[376.5710144042969`, 320.03370475769043`], List[202.5`, 420.53370475769043`], List[200.95300006866455`, 421.42667961120605`], List[199.04699993133545`, 421.42667961120605`], List[197.5`, 420.53370475769043`], List[23.428985595703125`, 320.03370475769043`], List[21.882003784179688`, 319.1406993865967`], List[20.928985595703125`, 317.4896984100342`], List[20.928985595703125`, 315.7036876678467`], List[20.928985595703125`, 114.70369529724121`], List[20.928985595703125`, 112.91769218444824`], List[21.882003784179688`, 111.26669120788574`], List[23.428985595703125`, 110.37369346618652`], List[197.5`, 9.87369155883789`], List[198.27300024032593`, 9.426692008972168`], List[199.13700008392334`, 9.203690528869629`], List[200.`, 9.203690528869629`], List[200.86299991607666`, 9.203690528869629`], List[201.72699999809265`, 9.426692008972168`], List[202.5`, 9.87369155883789`], List[376.5710144042969`, 110.37369346618652`], List[378.1179962158203`, 111.26669120788574`], List[379.0710144042969`, 112.91769218444824`], List[379.0710144042969`, 114.70369529724121`], List[379.0710144042969`, 315.7036876678467`], List[379.0710144042969`, 317.4896984100342`], List[378.1179962158203`, 319.1406993865967`], List[376.5710144042969`, 320.03370475769043`]]]]], List[FaceForm[List[RGBColor[0.5529411764705883`, 0.6745098039215687`, 0.8117647058823529`], Opacity[1.`]]], FilledCurveBox[List[List[List[0, 2, 0], List[0, 1, 0], List[0, 1, 0], List[0, 1, 0]]], List[List[List[44.92900085449219`, 282.59088134765625`], List[181.00001525878906`, 204.0298843383789`], List[181.00001525878906`, 46.90887451171875`], List[44.92900085449219`, 125.46986389160156`], List[44.92900085449219`, 282.59088134765625`]]]]], List[FaceForm[List[RGBColor[0.6627450980392157`, 0.803921568627451`, 0.5686274509803921`], Opacity[1.`]]], FilledCurveBox[List[List[List[0, 2, 0], List[0, 1, 0], List[0, 1, 0], List[0, 1, 0]]], List[List[List[355.0710144042969`, 282.59088134765625`], List[355.0710144042969`, 125.46986389160156`], List[219.`, 46.90887451171875`], List[219.`, 204.0298843383789`], List[355.0710144042969`, 282.59088134765625`]]]]], List[FaceForm[List[RGBColor[0.6901960784313725`, 0.5882352941176471`, 0.8117647058823529`], Opacity[1.`]]], FilledCurveBox[List[List[List[0, 2, 0], List[0, 1, 0], List[0, 1, 0], List[0, 1, 0]]], List[List[List[200.`, 394.0606994628906`], List[336.0710144042969`, 315.4997024536133`], List[200.`, 236.93968200683594`], List[63.928985595703125`, 315.4997024536133`], List[200.`, 394.0606994628906`]]]]]], List[Rule[BaselinePosition, Scaled[0.15`]], Rule[ImageSize, 10], Rule[ImageSize, 15]]], StyleBox[RowBox[List["GrowthTrackingPlot", " "]], Rule[ShowAutoStyles, False], Rule[ShowStringCharacters, False], Rule[FontSize, Times[0.9`, Inherited]], Rule[FontColor, GrayLevel[0.1`]]]]], Rule[GridBoxSpacings, List[Rule["Columns", List[List[0.25`]]]]]], Rule[Alignment, List[Left, Baseline]], Rule[BaselinePosition, Baseline], Rule[FrameMargins, List[List[3, 0], List[0, 0]]], Rule[BaseStyle, List[Rule[LineSpacing, List[0, 0]], Rule[LineBreakWithin, False]]]], RowBox[List["PacletSymbol", "[", RowBox[List["\"AntonAntonov/ReliabilityTools\"", ",", "\"AntonAntonov`ReliabilityTools`GrowthTrackingPlot\""]], "]"]], Rule[TooltipStyle, List[Rule[ShowAutoStyles, True], Rule[ShowStringCharacters, True]]]], Function[Annotation[Slot[1], Style[Defer[PacletSymbol["AntonAntonov/ReliabilityTools", "AntonAntonov`ReliabilityTools`GrowthTrackingPlot"]], Rule[ShowStringCharacters, True]], "Tooltip"]]], Rule[Background, RGBColor[0.968`, 0.976`, 0.984`]], Rule[BaselinePosition, Baseline], Rule[DefaultBaseStyle, List[]], Rule[FrameMargins, List[List[0, 0], List[1, 1]]], Rule[FrameStyle, RGBColor[0.831`, 0.847`, 0.85`]], Rule[RoundingRadius, 4]], PacletSymbol["AntonAntonov/ReliabilityTools", "AntonAntonov`ReliabilityTools`GrowthTrackingPlot"], Rule[Selectable, False], Rule[SelectWithContents, True], Rule[BoxID, "PacletSymbolBox"]][data, ImageSize -> Large]](https://www.wolframcloud.com/obj/resourcesystem/images/9ec/9ec1b229-e85a-4d2d-a401-5a50bbb34365/07e12c603286c315.png){kind=small} |
| Out[4]= |  |
Scope (5)
Anomaly detection (5)
Here is a time series and its length:
| In[5]:= | ![tsData = TemporalData[TimeSeries, {CompressedData["
1:eJx9lFtIFVEUhkczLKOITELKGDXCKDFDRBNrkiy7qHmSzCgaMjHINMTAQ1SD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"], {
TemporalData`DateSpecification[{2024, 3, 5, 17, 0, 0.}, {2024, 3, 8, 16, 45, 0.}, {15, "Minute"}]}, 1, {"Continuous", 1}, {"Discrete", 1}, 1, {ResamplingMethod -> {"Interpolation", InterpolationOrder -> 1},
ValueDimensions -> 1}}, True, 14.];](https://www.wolframcloud.com/obj/resourcesystem/images/9ec/9ec1b229-e85a-4d2d-a401-5a50bbb34365/58a4ec9f654b5767.png) |
Here is a date list plot with a vertical grid line that marks the training and testing split date:
| In[6]:= | ![splitDate = DateObject[{2024, 3, 7, 12, 0, 0}];
pl = DateListPlot[tsData, AspectRatio -> 1/3, ImageSize -> Large, PlotLabel -> "Temperature, °F", GridLines -> {{splitDate}, Automatic}]](https://www.wolframcloud.com/obj/resourcesystem/images/9ec/9ec1b229-e85a-4d2d-a401-5a50bbb34365/008e69eb437eb26c.png) |
| Out[3]= |  |
Here we split the data into training and testing parts:
| In[7]:= | ![splitPos = Length@Select[tsData["Times"], # <= AbsoluteTime[splitDate] &];
{training, testing} = TakeDrop[QuantityMagnitude[tsData["Path"]], splitPos];
Length /@ {training, testing}](https://www.wolframcloud.com/obj/resourcesystem/images/9ec/9ec1b229-e85a-4d2d-a401-5a50bbb34365/04efd2e5bc3ba9a7.png) |
| Out[8]= |  |
Here we get the positions of the anomalies:
| In[9]:= | ![pos = InterpretationBox[FrameBox[TagBox[TooltipBox[PaneBox[GridBox[List[List[GraphicsBox[List[Thickness[0.0025`], List[FaceForm[List[RGBColor[0.9607843137254902`, 0.5058823529411764`, 0.19607843137254902`], Opacity[1.`]]], FilledCurveBox[List[List[List[0, 2, 0], List[0, 1, 0], List[0, 1, 0], List[0, 1, 0], List[0, 1, 0]], List[List[0, 2, 0], List[0, 1, 0], List[0, 1, 0], List[0, 1, 0], List[0, 1, 0]], List[List[0, 2, 0], List[0, 1, 0], List[0, 1, 0], List[0, 1, 0], List[0, 1, 0], List[0, 1, 0]], List[List[0, 2, 0], List[1, 3, 3], List[0, 1, 0], List[1, 3, 3], List[0, 1, 0], List[1, 3, 3], List[0, 1, 0], List[1, 3, 3], List[1, 3, 3], List[0, 1, 0], List[1, 3, 3], List[0, 1, 0], List[1, 3, 3]]], List[List[List[205.`, 22.863691329956055`], List[205.`, 212.31669425964355`], List[246.01799774169922`, 235.99870109558105`], List[369.0710144042969`, 307.0436840057373`], List[369.0710144042969`, 117.59068870544434`], List[205.`, 22.863691329956055`]], 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"AntonAntonov`ReliabilityTools`AnomalyFinder"]], Rule[ShowStringCharacters, True]], "Tooltip"]]], Rule[Background, RGBColor[0.968`, 0.976`, 0.984`]], Rule[BaselinePosition, Baseline], Rule[DefaultBaseStyle, List[]], Rule[FrameMargins, List[List[0, 0], List[1, 1]]], Rule[FrameStyle, RGBColor[0.831`, 0.847`, 0.85`]], Rule[RoundingRadius, 4]], PacletSymbol["AntonAntonov/ReliabilityTools", "AntonAntonov`ReliabilityTools`AnomalyFinder"], Rule[Selectable, False], Rule[SelectWithContents, True], Rule[BoxID, "PacletSymbolBox"]][{training[[All, 2]], testing[[All, 2]]}, "AnomalyPositions", Method -> {"GNNMon", "NumberOfNearestNeighbors" -> 10, "OutlierIdentifier" -> "Quartile"}];
Shallow[pos]](https://www.wolframcloud.com/obj/resourcesystem/images/9ec/9ec1b229-e85a-4d2d-a401-5a50bbb34365/7dde38d75dbc9520.png) |
| Out[10]= |  |
Here is a plot of the time series and the found outliers:
| In[11]:= | ![Append[pl, Epilog -> {Red, PointSize[0.012], Point[testing[[pos]]]}]](https://www.wolframcloud.com/obj/resourcesystem/images/9ec/9ec1b229-e85a-4d2d-a401-5a50bbb34365/4f87a1c0594e2179.png){kind=small} |
| Out[11]= |  |
Publisher
Disclosures
- Paclet dependencies
- Learn More »
Compatibility
Wolfram Language Version 13
Version History
- 1.0.1 – 08 August 2024
- 1.0.0 – 02 August 2024