pof_ehv_switchgear {CNAIM} | R Documentation |
Current Probability of Failure for EHV Switchgear
Description
This function calculates the current annual probability of failure per kilometer EHV Switchgear The function is a cubic curve that is based on the first three terms of the Taylor series for an exponential function. For more information about the probability of failure function see section 6 on page 34 in CNAIM (2021).
Usage
pof_ehv_switchgear(
ehv_asset_category = "33kV RMU",
placement = "Default",
number_of_operations = "Default",
altitude_m = "Default",
distance_from_coast_km = "Default",
corrosion_category_index = "Default",
age,
measured_condition_inputs,
observed_condition_inputs,
reliability_factor = "Default"
)
Arguments
ehv_asset_category |
String The type of EHV asset category |
placement |
String. Specify if the asset is located outdoor or indoor. |
number_of_operations |
The number of operations for duty factor |
altitude_m |
Numeric. Specify the altitude location for
the asset measured in meters from sea level. |
distance_from_coast_km |
Numeric. Specify the distance from the
coast measured in kilometers. |
corrosion_category_index |
Integer. Specify the corrosion index category, 1-5. |
age |
Numeric. The current age in years of the conductor. |
measured_condition_inputs |
Named list observed_conditions_input |
observed_condition_inputs |
Named list observed_conditions_input
|
reliability_factor |
Numeric. |
Value
DataFrame Current probability of failure per annum per kilometer along with current health score.
Source
DNO Common Network Asset Indices Methodology (CNAIM), Health & Criticality - Version 2.1, 2021: https://www.ofgem.gov.uk/sites/default/files/docs/2021/04/dno_common_network_asset_indices_methodology_v2.1_final_01-04-2021.pdf
Examples
# Current annual probability of failure for EHV Swicthgear
pof_ehv_switchgear(
ehv_asset_category = "33kV RMU",
number_of_operations = "Default",
placement = "Default",
altitude_m = "Default",
distance_from_coast_km = "Default",
corrosion_category_index = "Default",
age = 10,
observed_condition_inputs =
list("external_condition" =
list("Condition Criteria: Observed Condition" = "Default"),
"oil_gas" = list("Condition Criteria: Observed Condition" = "Default"),
"thermo_assment" = list("Condition Criteria: Observed Condition" = "Default"),
"internal_condition" = list("Condition Criteria: Observed Condition" = "Default"),
"indoor_env" = list("Condition Criteria: Observed Condition" = "Default"),
"support_structure" = list("Condition Criteria: Observed Condition" = "Default")),
measured_condition_inputs =
list("partial_discharge" =
list("Condition Criteria: Partial Discharge Test Results" = "Default"),
"ductor_test" = list("Condition Criteria: Ductor Test Results" = "Default"),
"oil_test" = list("Condition Criteria: Oil Test Results" = "Default"),
"temp_reading" = list("Condition Criteria: Temperature Readings" = "Default"),
"trip_test" = list("Condition Criteria: Trip Timing Test Result" = "Default"),
"ir_test" = list("Condition Criteria: IR Test Results" = "Default" )),
reliability_factor = "Default")