The use of trend lines channels and remaining useful life prediction

Abstract

One of the most important aspects in a working machine is the remaining useful life (RUL) of its components. Prognostics in this case depends on establishing the cause-effect entries in the process as well as how it behaves from the series of measures done under experimental conditions. This work introduces two techniques in analyzing series data coming originally from the financial market frame. One of them is the Bollinger Bands theory and another is the Markowitz theory on composite series. Both have a wide spectrum of applications in the cause-effect series prediction.