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Amitabh Khosla

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Amitabh Khosla

Amitabh Khosla

General Manager - International Sales, Brüel & Kjær Vibro GmbH

With three decades of market-understanding & global experience in Asset Management & Condition Monitoring, he has led operations for various key Condition Monitoring companies, globally. With a degree in Mechanical Engineering, and starting his career as Rotating Equipment engineer for Reliance; he took roles of commercial leadership, dedicated to helping customers get more value and better returns from their investments in the domain of Asset Reliability & Operational Optimization

Operational Intelligence in Condition Monitoring Systems

Turbomachinery Controls

Abstract: Machinery Condition Monitoring provides “real-time” proactive & predictive analysis detecting and diagnosing a large number of failure modes at a very early stage and in a reliable manner.

Fast and reliable Condition Monitoring Solutions help to easily reduce downtime of rotating equipment.

Latest technological advancements allow Adaptive Monitoring to be used to gain maximum sensitivity to small changes without generating false alarms. Furthermore, by data comparison, data reduction and the filtering of irrelevant data, the core issues are quickly identified and highlighted in an operational intelligent way (through early examinations, predictive insights and failure preventions).

Innovative Modular Systems (software) permit clients/users to acquire vibration and process data in the quickest and simplest way via rack-based system (traditional methodology) or via any API 670 compliant machine protection system by taking the buffered output through Vibration Interface hardware. Its innovative scalability enables it to be easily used in a number of applications, from single machines to a series of interconnected production plants with hundreds of machines. This solution of Vibration Interface Hardware can also take measurement signals directly from sensors, therefore making it possible to deploy high-end condition monitoring for less-critical BOP machinery thus increasing overall Operational Management.

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