Arturo Núñez

This paper presents the effectiveness of remote asset monitoring using Acoustic Emission. We will discuss different aspects of implementing an effective remote asset monitoring operation, such as considerations for the deployment of instrumentation in the field, instrumentation, communications, benefits of automatic data transfer from the monitoring system to a secure server, continuous automatic verification of hardware integrity, and automatic notification of potential damage or conditions… Show more

This paper presents the effectiveness of remote asset monitoring using Acoustic Emission. We will discuss different aspects of implementing an effective remote asset monitoring operation, such as considerations for the deployment of instrumentation in the field, instrumentation, communications, benefits of automatic data transfer from the monitoring system to a secure server, continuous automatic verification of hardware integrity, and automatic notification of potential damage or conditions affecting the asset integrity occurring.

We will provide an in-depth view of the cloud monitoring implementation processes, and the use of machine learning and other data analytics techniques to identify abnormal acoustic emission data patterns. The application of these tools to specific case studies in electric power transformers, power steam generators and civil infrastructure assets will be presented. Finally, we will illustrate how these capabilities help to provide timely, actionable information to the asset owner. Show less

Recently, further electronics miniaturization, avalaibility of high density computer power, modern data analytics, relatively inexpensive data storage, and ubiquitous internet connectivity has created the conditions necessary for condition-based inspection, which are the same conditions for moving NDE into the realm of the fourth industrial revolution, or NDE4.0. Even with these advances, practical implementation of NDE4.0 remains a challenging proposition. However, in this context, AE is in a… Show more

Recently, further electronics miniaturization, avalaibility of high density computer power, modern data analytics, relatively inexpensive data storage, and ubiquitous internet connectivity has created the conditions necessary for condition-based inspection, which are the same conditions for moving NDE into the realm of the fourth industrial revolution, or NDE4.0. Even with these advances, practical implementation of NDE4.0 remains a challenging proposition. However, in this context, AE is in a unique advantageous position to meet this challenge. By its physical nature AE produces an enormous amount of data, which has been traditionally processed in real-time, the AE instrumentation has evolved to the point that is designed with integral communications through the internet via Wi-Fi or cellular networks, AE data is accessible to the customers via web portals, and in some cases the AE data is integrated with operational and weather data affecting the assets.
This paper discusses examples of practical NDE4.0-AE implementation on bridges, large electric power utilities, and wind farms. These projects incorporate new sensors, remote wireless smart AE instruments, cloud data analytics tailored for data fusion, automatic analysis, alarming, and data-driven web applications for the visualization of asset status in real time. These examples clearly illustrate the roll of AE as the natural method for NDE4.0 realization at the beginning of the third decade of the 21st century. Show less

Continuous monitoring of assets with acoustic emission produces large amounts of data.
Data management, data integrity, data processing, data interpretation are discussed during the different stages of a monitoring project

This Technical Brochure provides new rules for the interpretation of DGA in electrical equipment, taking into account the type and location of faults. It identifies the faults that are of lesser concern in transformers (e.g., stray gassing of oil or hot spots T3-H in oil), and those which are potentially more dangerous (e.g, carbonization of paper C and arcing in paper). It also provides gas level limits which are more specific of these types of faults.

Vibration analysis in power transformers can provide important and useful information in the evaluation of the mechanical integrity of these assets, without the need of remove the transformer from service to perform the inspection. However, unlike in rotating machinery, analysis of vibration profiles can be a difficult task, since there are no specific test procedures, diagnostic models or standards that help evaluate the mechanical condition of the transformer based on the vibration profiles… Show more

Vibration analysis in power transformers can provide important and useful information in the evaluation of the mechanical integrity of these assets, without the need of remove the transformer from service to perform the inspection. However, unlike in rotating machinery, analysis of vibration profiles can be a difficult task, since there are no specific test procedures, diagnostic models or standards that help evaluate the mechanical condition of the transformer based on the vibration profiles. In addition, vibration in power transformers is produced by a complex combination of different physical and operating variables, such as transformer design and manufacturing process, voltage, load current and temperature levels of the transformer, etc.

This paper presents several case studies when vibration allowed the early detection of incipient faults in power transformers Show less

This paper presents case studies where the use of non-invasive techniques provided insightful and sometimes a unique perspective not only on the type of fault present but also on the conditions in which the fault(s) were active.

Benefits of Acoustic Emission testing and/or monitoring of power transformers as well as case studies are presented

Allegheny Power, American Electric Power, Bonneville Power Administration, Consolidated Edison Company of New York, Inc., Electricite de France, Exelon Corporation, and Public Service Electric and Gas Company
Product ID 1007176