pof_future_transformer_04_10kv {CNAIM}

Future Probability of Failure for 0.4/10kV Transformers

Description

This function calculates the future annual probability of failure for 0.4/10kV Transformers. The function is a cubic curve that is based on the first three terms of the Taylor series for an exponential function.

Usage

pof_future_transformer_04_10kv(
  utilisation_pct = "Default",
  placement = "Default",
  altitude_m = "Default",
  distance_from_coast_km = "Default",
  corrosion_category_index = "Default",
  age,
  partial_discharge = "Default",
  temperature_reading = "Default",
  observed_condition = "Default",
  reliability_factor = "Default",
  moisture = "Default",
  acidity = "Default",
  bd_strength = "Default",
  k_value = 0.0077,
  c_value = 1.087,
  normal_expected_life = 55,
  simulation_end_year = 100
)

Arguments

utilisation_pct

Numeric. The max percentage of utilisation under normal operating conditions.

placement

String. Specify if the asset is located outdoor or indoor. A setting of "Outdoor" means the asset is located in an outside environment, and a setting of "Indoor" means the asset is located in an indoor environment. A setting of "Default" will result in either an indoor or an outdoor environment setting that depends on the specification of asset_type. See page 110-113, table 26 in CNAIM (2021) for default environments.

altitude_m

Numeric. Specify the altitude location for the asset measured in meters from sea level.altitude_m is used to derive the altitude factor. See page 111, table 23 in CNAIM (2021). A setting of "Default" will set the altitude factor to 1 independent of asset_type.

distance_from_coast_km

Numeric. Specify the distance from the coast measured in kilometers. distance_from_coast_km is used to derive the distance from coast factor See page 110, table 22 in CNAIM (2021). A setting of "Default" will set the distance from coast factor to 1 independent of asset_type.

corrosion_category_index

Integer. Specify the corrosion index category, 1-5.

age

Numeric. The current age in years.

partial_discharge

String. Indicating the

temperature_reading

String. Indicating the criticality. Options for temperature_reading: temperature_reading = c("Normal", "Moderately High", "Very High", "Default"). See page 153, table 172 in CNAIM (2021).

observed_condition

String. Indicating the observed condition of the transformer. Options for observed_condition: observed_condition = c("No deterioration", "Superficial/minor deterioration", "Slight deterioration", "Some Deterioration", "Substantial Deterioration", "Default"). See page 130, table 81 in CNAIM (2021).

reliability_factor

Numeric. reliability_factor shall have a value between 0.6 and 1.5. A setting of "Default" sets the reliability_factor to 1. See section 6.14 on page 73 in CNAIM (2021).

moisture

Numeric. the amount of moisture given in (ppm) See page 162, table 203 in CNAIM (2021).

acidity

String Acidity

bd_strength

Numeric. the amount of breakdown strength given in (kV) See page 162, table 205 in CNAIM (2021).

k_value

Numeric. k_value = 0.0069 by default. This number is given in a percentage. The default value is accordingly to the CNAIM standard on p. 110.

c_value

Numeric. c_value = 1.087 by default. The default value is accordingly to the CNAIM standard see page 110

normal_expected_life

Numeric. normal_expected_life = 60 by default. The default value is accordingly to the CNAIM standard on page 107.

simulation_end_year

Numeric. The last year of simulating probability of failure. Default is 100.

Value

DataFrame. Future probability of failure along with future health score

Examples

pof_future_transformer_04_10kv(utilisation_pct = "Default",
placement = "Default",
altitude_m = "Default",
distance_from_coast_km = "Default",
corrosion_category_index = "Default",
age = 20,
partial_discharge = "Default",
temperature_reading = "Default",
observed_condition = "Default",
reliability_factor = "Default",
moisture = "Default",
acidity = "Default",
bd_strength = "Default",
k_value = 0.0077,
c_value = 1.087,
normal_expected_life = 55,
simulation_end_year = 100)