Condition Monitoring of Steam Turbines by Performance Analysis

Continuous monitoring of the filter elements in a hydraulic system can provide valuable clues to the performance of the filter and the condition of the system. Before I discuss this, let's consider some of the advantages and disadvantages of common filter locations in a hydraulic system.        

As part of a larger maintenance strategy, outsourcing the diagnostics and monitoring of critical machinery can be an effective tool in the battle to maximize asset availability and plant efficiency. In situations in which machine performance is critical but in-house analysis is not practical because of limited resources, outsourcing offers a cost-effective solution.

Why do components fail? – This article explains common failure mechanisms, component types to which each applies, and suggests non-intrusive monitoring techniques to discover components in various stages of progressive failure. 

In its simplest form, vibration can be considered to be the oscillation or repetitive motion of an object around an equilibrium position. The equilibrium position is the position the object will attain when the force acting on it is zero. This type of vibration is called "whole body motion", meaning that all parts of the body are moving together in the same direction at any point in time.

Are smart sensors for maintenance really changing the game, or are we just caught up in another tech trend?

Condition-based maintenance (CBM) is a maintenance strategy that focuses on monitoring the condition of equipment to determine when maintenance actions should be performed. While CBM can be effective in reducing unplanned downtime and optimizing maintenance activities, it alone does not address the root causes of failure and may not lead to long-term improvements in machine reliability. Here are a few reasons why CBM, on its own, may not improve reliability.

For Condition Monitoring (CM) purposes a range of technologies are available, each having its own strengths and weaknesses, and it is usual to consider each of them as a tool in the CM toolkit. The Acoustic Emission (AE) technique has a 40 year history of use for machinery condition monitoring and although it got off to a slow start, in recent years it has gained very widespread acceptance across industry.