Downtime reduction and cost containment are persistent objectives for operations, engineering and maintenance professionals in the power industry. In steam power generation, for example, corrosion and deposition cost billions of dollars every year in reduced efficiency and equipment failures. Effective utilization of sophisticated analyzers and control systems is necessary in maintaining good water chemistry for avoiding unplanned outages, and for otherwise meeting profitability and process control responsibilities. Among the more popular recent adoptions has been the combination of intelligent field devices and asset management software. However, the full value of this can only be realized if critical diagnostic capabilities are integrated into predictive maintenance practices.
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