predict_weibull_model {CNAIM}R Documentation

Prediction function for Weibull model

Description

This function uses the Weibull model parameters trained by the function train_weibull_model(), together with the environmental factors for a specific transformer, and determines the probability of failure at a given age.

Usage

predict_weibull_model(
  age,
  environmental_factors = data.frame(utilisation_pct = "Default", placement =
    "Default", altitude_m = "Default", distance_from_coast_km = "Default",
    corrosion_category_index = "Default", partial_discharge = "Default", oil_acidity =
    "Default", temperature_reading = "Default", observed_condition = "Default"),
  weibull_model_parameters = data.frame(shapes = c(3.597272, 2.528015, 2.273607,
    2.10145, 2.048909), scales.intercept = c(100.17922, 45.54622, 73.63507, 29.99655,
    31.19306), scales.1 = c(0.0028536801, 0.0014449054, 0.0011716558, -0.0003356626,
    -0.0017302242), scales.2 = c(-8.202209, -3.856043, -2.818854, -2.388243, -2.940468),
    scales.3 = c(-0.003023546, -0.001602048, -0.00134834, -0.00198866, -0.003149921),
    scales.4 = c(-0.040016081, -0.028129483, -0.017586604, -0.009426902, -0.02178312),
    scales.5 = c(-1.4776137, -0.6794045,      -0.6000869, -0.3839049, -0.4445468),
    scales.6 = c(-0.811395564, 0.015705206, -9.815935489, -0.002548827, -0.085903822),
    scales.7 = c(-4.4776511, -0.3677058, 0.4590218, -0.6364809, -0.3314029), scales.8 =
    c(-1.5861982, 0, -0.1398528, -0.1721091, 0), scales.9 = c(-0.7914404, -0.2632199,
    -1.1882148, 0, 0))
)

Arguments

age

Numeric. Age of transformer which should be used in the prediction.

environmental_factors

Data frame. Must contain the following fields: utilisation_pct: Numeric or "Default", placement: "Indoor", "Outdoor" or "Default", altitude_m: Numeric or "Default", distance_from_coast_km: Numeric or "Default", corrosion_category_index: Numeric or "Default", partial_discharge: "Low", "Medium", "High (Not Confirmed)", "High (Confirmed)" or "Default", oil_acidity: Numeric or "Default", temperature_reading: "Normal", "Moderately High", "Very High" or "Default", observed_condition: "As New", "Good", "Slight Deterioration", "Poor", "Very Poor" or "Default" Default value if environmental_factors is not provided: data frame with value "Default" for all fields

weibull_model_parameters

Data frame. The output returned by the function train_weibull_model(). Default value if weibull_parameters is not provided: data frame with parameters trained on data set transformer_11kv_faults.rda

Value

Numeric. Probability of failure at the given age.

Source

https://www.cnaim.io/docs/fault-analysis/

Examples

predict_weibull_model(age = 50)


[Package CNAIM version 1.0.1 Index]