5/11/2023 0 Comments Intervalo pf![]() This paper provides a general review of the state of the art of research conducted on wind farm maintenance in recent years. O&M costs typically account for 20% to 25% of the total levelized cost of electricity (LCOE) of current wind power systems. īoth the reduction in operating and maintenance (O&M) costs and improved reliability have become top priorities in wind turbine maintenance strategies. These maintenance tasks should be effective to permanently remove its root. Condition monitoring does not prevent the failure, therefore it does not affect the failure rate or the reliability of the equipment, but if monitoring data are correctly interpreted, they will lead to maintenance aimed at eliminating and reducing the consequences of failure. Figure 3 shows the temperature record of a bearing in which the average temperature increased by 16 degrees Celsius to reach the permissible safety limit value set on the machine at 86 degrees Celsius, a net PF interval of 30 days. This time range is called net PF interval. The curve shows when the failure starts and how it deteriorates to the point where they can be detected (P) and then, if the failure is not corrected, it continues to deteriorate, usually very fast, until it reaches the point of functional failure (F). This is known as PF curve, shown in Figure 2. ![]() Representing the data graphically, a time function results in a straight line, but as the measured parameter varies as a result of an incipient failure, this straight line will progressively bend in a manner proportional to the worsening of the condition status of the component under analysis, until a functional failure is achieved. The benefit achieved by detecting an early warning enables equitable mitigation of risk assessed by RPN thus CMS can effectively schedule the corresponding task categories, generating a decline in failures with a consequent increased availability and reduced repair costs. ![]() Figure 1 shows an example installation of such equipment in a wind turbine with difficult access. The installation of these devices and tracking selected variables enables the detection of non-standard conditions that facilitate failure analysis thereby increasing detection probability thereof. This is performed by implementing sensors that collect the operating characteristics of the set of components that form the productive system. optimize the probability of failure detecting, continuous monitoring devices (CMS) are installed, which provide real-time information regarding the selected parameters, Utne et al (2012), such as temperature, amperage and vibration level, and thus these devices show early non-standard condition of important components such as bearings, gearboxes, axles and electric machines.
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