Add to ORKGThe electrical power grid and the apparatus are often subject to online monitoring in order to log data for further analysis in the case of an error or failure. Several levels of maintenance testing and maintenance generations are discussed in the article. Nowadays, they are often using electromagnetic signature analysis technology. The most advanced preventive maintenance and testing paradigm incorporates Artificial Intelligence into the analysis
Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Mas...
The modern power grid has become increasingly dependent on wireless communications to fulfill its du...
This paper describes a large set of electricity data for the IEEE 24 bus system generated on a test ...
The electrical power grid and the apparatus are often subject to online monitoring in order to log d...
Artificial intelligence (AI) attempts to be involved in power transformer diagnostics are relatively...
The main types of existing Condition Monitoring methods (MCSA, GA, IAS) for electrical drives are d...
In this paper, Artificial Immunity System (AIS) is used to study transient fault occurrence. The con...
This presentation describes a research investigation to access the feasibility of using an Artificia...
The era of digitalization brings new challenges and new paradigms since transformer users and manufa...
The Electrical Signature Analysis (ESA) is a non-invasive technique applicable for Condition Based M...
Publisher Copyright: © 2013 IEEE.The present article describes a smart wireless online device for th...
This dissertation report proposes a new scheme for fault detection and prognosis in electrical devic...
Detection of defects at an early stage of their occurrence, especially for power transformers that h...
Boosting the complexity of the electricity network, penetration of renewable resources, and moderniz...
Faults diagnosis in power transformers has been traditionally based on the insulation resistance mea...
Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Mas...
The modern power grid has become increasingly dependent on wireless communications to fulfill its du...
This paper describes a large set of electricity data for the IEEE 24 bus system generated on a test ...
The electrical power grid and the apparatus are often subject to online monitoring in order to log d...
Artificial intelligence (AI) attempts to be involved in power transformer diagnostics are relatively...
The main types of existing Condition Monitoring methods (MCSA, GA, IAS) for electrical drives are d...
In this paper, Artificial Immunity System (AIS) is used to study transient fault occurrence. The con...
This presentation describes a research investigation to access the feasibility of using an Artificia...
The era of digitalization brings new challenges and new paradigms since transformer users and manufa...
The Electrical Signature Analysis (ESA) is a non-invasive technique applicable for Condition Based M...
Publisher Copyright: © 2013 IEEE.The present article describes a smart wireless online device for th...
This dissertation report proposes a new scheme for fault detection and prognosis in electrical devic...
Detection of defects at an early stage of their occurrence, especially for power transformers that h...
Boosting the complexity of the electricity network, penetration of renewable resources, and moderniz...
Faults diagnosis in power transformers has been traditionally based on the insulation resistance mea...
Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Mas...
The modern power grid has become increasingly dependent on wireless communications to fulfill its du...
This paper describes a large set of electricity data for the IEEE 24 bus system generated on a test ...