Ricardo Manuel Arias Velásquez

Presentations:

Bearings and Gearbox Faults with AI Analysis

This tutorial or webinar will provide an overview of gearbox and bearing faults, and discuss about the methodologies for this early detection and methodologies used by the electric power industry to improve the detection. This tutorial will bring together all these aspects in a cohesive and holistic description that would allow attendees to understand this technology and its complex problems. The detection of sudden faults in wind turbine generator (WTG) is a complex task, especially in bearings. Usually, the evaluation of methodologies such as vibration, ultrasound, and bearing temperatures are widely used in predictive maintenance. An important aspect for the traditional approach, in wind turbine fault detection, is the limited analysis with a single variable as vibration, or temperature. 

This tutorial will address the following aspects:

1. Objectives: Failures modes in gearbox and bearing applied to wind turbines.
2. Modern equipment, technology, solutions and techniques for the analysis.
3. Implementation of the AI solutions, limits, trends and big data applied to vibration, temperature, and image analysis.
4. Case studies: Examples of temperature analysis and vibration for real-life in wind turbines.

This can be either a 1-hour presentation or 3-h tutorial by Dr. Ricardo Arias Velásquez, Ph.D. (content can be summarized to accommodate time availability).

This presentation is targeted to generation engineers, engineering managers, operation engineering, technical support team, manufacturers and all people involve or interested in renewable energy.

Biodegradable and Mineral Oil Analysis for Renewable Energy Transformers

Power transformers are the most critical part of power electrical system, distribution and transmission grid. The oil and the insulation system (paper properties) degradation have many chemicals inside them, they are the result of an initial problem that can be predicted. Over the past three decades, the energy industry has embraced the adoption of a new type of biodegradable oil. Presently, the prevailing international standard for its evaluation is IEEE C57.155-2014. Various working groups, including those within CIGRE A2.68, IEC, and industry manufacturers, have embarked on endeavors to explore new evidence and methodologies for assessing the accuracy and alternatives in detecting failures.

This tutorial will address the following aspects:

1. Objectives: Difference between mineral oil and SoyBean (FR3) oil analysis applied to renewable energy, and its limits.
2. Failures modes and new challenges in the transformers LV/MV in renewable energy.
3. Application of traditional methods, fuzzy logic, and machine learning techniques and its influence in the decision making process.
4. Case studies: Examples of FR3 faults, mineral oil in PV solar plants, wind farms, hydro power plants and thermal technology, and differences.

This can be either a 1-hour presentation or 2-h tutorial by Dr. Ricardo Arias Velásquez, Ph.D. (content can be summarized to accommodate time availability).

This presentation is targeted to generation engineers, engineering managers, operation engineering, technical support team and all people involve or interested in transformers located in renewable energy plants.

Model for Failure Analysis for Overhead Lines with Distributed Parameters Associated to Atmospheric Discharges

Many overhead lines with double circuit are located in the highlands. The failure analysis caused by lightning in the Andean mountains is difficult to solve. A new electrical model for engineering failure analysis proposed using distributed parameters, transitory analysis, combinatorial model and grounding system equivalent, besides an electrical equivalent for transmission line arrester for overhead lines and their constraints. This new proposal model has been validated with a case study, it considers two circuits of overhead lines in parallel condition of nominal voltage 220 kV, and these overhead lines are critical for the operation of the Peruvian grid, with >600 km, shunt reactors and fixed serial capacitors installed in the middle point, >80% of the overhead line. The number of lightning discharges captured by the power transmission line and guard cables have an interesting behavior, in this analysis, a new expression of probability density function is proposed and a methodology for this installation. Finally the distribution of the currents and the shielding are required to improve the performance of grounding system and insulation, this model allows to avoid loss of function, transmission of electrical energy.

This can be either a 1-hour presentation or 2-h tutorial by Dr. Ricardo Arias Velásquez, Ph.D. (content can be summarized to accommodate time availability).

This presentation is targeted to generation engineers, engineering managers, operation engineering, technical support team and all people involve or interested in overhead lines.