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Wind energy is one of the most relevant renewable energy. A proper wind turbine maintenance management is required to ensure continuous operation and optimized maintenance costs. Larger wind turbines are being installed and they require new monitoring systems to ensure optimization, reliability and availability. Advanced analytics are employed to analyze the data and reduce false alarms, avoiding unplanned downtimes and increasing costs. Supervisory control and data acquisition system determines the condition of the wind turbine providing large dataset with different signals and alarms. This paper presents a new approach combining statistical analysis and advanced algorithm for signal processing, fault detection and diagnosis. Principal component analysis and artificial neural networks are employed to evaluate the signals and detect the alarm activation pattern. The dataset has been reduced by 93% and the performance of the neural network is incremented by 1000% in comparison with the performance of original dataset without filtering process.
The purpose and scope of this paper is to describe the factors to consider when determining Electronic Chart Display and Information System (ECDIS) limitation, data reliability, alarm management and ship’s safety parameter settings. For the optimum situational awareness, navigators must always recognize the level of display for objects presented when using ECDIS. The values for the safety depth and safety contour must be understood and entered to achieve a sensible and considered meaning and alarm settings. The navigators must remember that the display of underwater obstructions or isolated danger symbols can change according to the settings of this safety contour which also marks the division between navigable (safe) and non-navigable (unsafe) water. Improper management of the system may result in the anti-grounding alarms and other indications failing to activate as required for the safe conduct of the navigation. Consequently, it could give a false impression of safe waters around the vessel where some dangers may not be shown due to the limitations imposed by original chart scale. This paper recognizes the limitations of ECDIS display, the significance of appropriate safety settings as well as the alarm management recommended for passage planning & route monitoring on VLCC tankers.
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