APPLICATIONS OF DSPCENTRIC DYNAMIC SIGNAL ANALYZERS TO INDUSTRIAL ROTATING MACHINERY DIAGNOSTICS

摘要

Vibration analysis on industrial machinery is generally performed using either route-based data collectors or permanent condition monitoring systems and in some cases, a combination of the two. While each of these options offers several benefits for monitoring of machinery health, their relative strengths and 'expert diagnostic' capabilities are often exaggerated by suppliers resulting in unrealized goals of investors. The rapid and accurate diagnosis of rotating machinery malfunctions requires sophisticated and flexible methods of data acquisition and analysis combined with the ability to record the raw data from multiple channels for post analysis. In the hands of expert consultants, such instruments provide an invaluable means to bridge the chasm that exists between the two ends of traditional monitoring systems. This paper details the implementation of dynamic signal analyzer platforms that uniquely combine the use of DSPcentric signal processing and powerful graphical analysis features towards the realtime data acquisition and analysis requirements of industrial machinery. The paper also presents several case studies that highlight the many successful applications of such platforms in paper mills and power generation plants.