The life cycle is the entire stage of change that a tool undergoes over its lifetime. In general, it can be defined that the life cycle of electrical equipment is the stage of change that a tool experiences during its functional life and certainly continues to decline in performance and breaks down faster. Each electrical appliance has different stages of the life cycle when it is functioning. This depends on the length of use and is usually the manufacturer's standard and stipulation. The unit of period of its function is usually measured in units of hour time. The stage of changing the form or function of performance to the decline in the function of other electrical equipment can also vary depending on the age that begins with the installation of use to reach the age limit of use. Monitoring equipment on a large scale in the context of maintenance, maintenance to replacement must indeed be needed. In this paper, an early warning model based on the age period of integrated electrical equipment will be built using the linear network adaptive neural network algorithm model (Adaline). The results of this model exist in three circumstances, namely: Very Urgent, Urgent and Not Urgent based on calculations for one month and one year