SIMAP: Intelligent System for Predictive Maintenance: Application to the health condition monitoring of a windturbine gearbox

By Mari Cruz Garcia, M. A. Sanz-Bobi, J. Pico. Computers in industry (Print), 2006

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An overview of time-based and condition-based maintenance in industrial application (2012, methodology): “(2001a, 2001b) and intelligent system for predictive maintenance (SIMAP) for health condition monitoring of a wind turbine gearbox developed by Garcia et al. (2006). On the other hand, some theoretical issues of CBM must takes into account in future CBM research, so that more reliable maintenance de”
An Artificial Neural Network Approach for Early Fault Detection of Gearbox Bearings (2015, methodology): “In [10], the anomaly is detected based on increasing error value in relation to a predefined confidence interval and in [11] the anomaly is detected based on increase in the duration and frequency of errors.”
A Survey on Wind Turbine Condition Monitoring and Fault Diagnosis—Part II: Signals and Signal Processing Methods (2015, methodology): “used for fault diagnosis of WTs, such as gearboxes [78], [88].”
Comparative analysis of neural network and regression based condition monitoring approaches for wind turbine fault detection (2011, neutral): “In SIMAP [3] a fuzzy expert system is implemented to identify the abnormalities.”
On the concept of e-maintenance: Review and current research (2008, methodology): “[48] propose a predictive maintenance system, called SIMAP, based on artificial intelligent techniques (Fig.”