Abstract :
Exposure to pollutants in the air over a long period of time slowly degrades aluminum stranded conductors steel reinforced (ACSR) of overhead transmission lines. Presently, a large number of ACSR conductors have exceeded their forecast useful life. Therefore, it is required to assess the condition of most conductors to determine an economic maintenance schedule. This paper describes a method for evaluating the current condition of aged conductors based on dominant factors such as years in service, environment index, and conductor configuration. The paper presents a diagnostic tool with a fuzzy inference system (FIS) to predict the deterioration degree corresponding to the lifetime of aged conductors based on experts´ knowledge. This system can be used as an effective guide to perform nondestructive diagnosis and maintenance of old ACSR conductors.
Keywords :
fuzzy set theory; inference mechanisms; overhead line conductors; power engineering computing; ACSR conductors useful life diagnosis; aged conductors; air pollutants; aluminum stranded conductors steel reinforced; condition assessment; conductor configuration; deterioration degree prediction; economic maintenance schedule; environment index; expert knowledge; fuzzy inference system; overhead transmission lines; Aging; Air pollution; Aluminum; Conductors; Degradation; Economic forecasting; Environmental economics; Fuzzy systems; Power transmission lines; Steel;
