146 research outputs found
Introductory Chapter: Introduction to Dependability Engineering
Cloud computing presents some challenges that are needed to be overcome, such as planning infrastructures that maintain availability when failure events and repair activities occu
Utilisation of ensemble empirical mode decomposition in conjunction with cyclostationary technique for wind turbine gearbox fault detection
In this paper the application of cyclostationary signal processing in conjunction with Ensemble Empirical Mode Decomposition (EEMD) technique, on the fault diagnostics of wind turbine gearboxes is investigated and has been highlighted. It is shown that the EEMD technique together with cyclostationary analysis can be used to detect the damage in complex and non-linear systems such as wind turbine gearbox, where the vibration signals are modulated with carrier frequencies and are superimposed. In these situations when multiple faults alongside noisy environment are present together, the faults are not easily detectable by conventional signal processing techniques such as FFT and RMS
Advances in Machine Condition Monitoring and Fault Diagnosis
In the past few decades, with the great progress made in the field of computer technology, non-destructive testing, signal and image processing, and artificial intelligence, machine condition monitoring and fault diagnosis technology have also achieved great technological progress and played an active and important role in various industries to ensure the efficient and reliable operation of machines, lower the operation and maintenance costs, and improve the reliability and availability of large critical equipment [...
Introductory Chapter: An Overview to Maintenance Management
The industry requires maintenance to ensure the correct operations of the
engines, components, structures, etc. Any failure, that is, termination of the
ability of an item to perform a required function, generates downtimes, costs, risks
for the human labors, etc. The high competitiveness in the current industry does not
lead these failures to the firms
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