The error analysis is a complex process that applies to all different types of supplies. Each group of materials requires special skills and appropriate experimentation to solve effectively the causes of failure. The aim of error analysis is quite positive: To avoid additional failures later. The determination of the errors that occur when a structure or part of a structure does not meet the expectations for which there is economic and personal costs avoided in the future. The failure would be easy to understand intuitively.
But underneath that there are intuitive understanding crucial conceptual principles that are commonly misunderstood or not considered at all. A common aspect of failure analysis is associated with Failure Not Found (no fault found), which is an expression used in the field of error analysis to explain a situation in which initially reported a possible failure of a material by a lab technician or specialist, but then can not be reproduced later in the tests performed. In any event, determine the cause of failure to avoid the risk, and increase the performance of the device, component or structure. Technology forecast includes the dynamic diagnostics, asset-based reasoning algorithms based on data and forecasting models to complete a full analysis. The market launch a product without prior testing usually adds more cost to the project. The investigation and subsequent analysis of the failure, first identify the type of error. Next, determine the root cause of a failure, and based on the identification, corrective action must be initiated to avoid similar failures.
To prevent failures later, still have to develop innovative experimental techniques. A complex investigation of errors, as the investigation of aircraft accidents, usually requires the services of experts in various branches of engineering and physical sciences and metallurgy. That is why more and more sectors of the industry are promoting the creation of a well-established branch of analysis of material that covers all these areas and can provide well-defined and proven solutions, far from the variety of experimentation that exists today and that in many cases leads to more confusion than clarification. Felipe Garcia is a consultant.