Juan Luis Ferrando Chacon

• PhD
• Senior researcher at Vicomtech

Various industrial applications deal with high-frequency data. Traditionally, these systems have analyzed high-frequency data directly on the data source or at the commanding PLC. However, currently, Industry 4.0 technologies support new monitoring scenarios for high-frequency data monitoring where raw data is transmitted in soft-real time to an Ed...

Availability of computation capabilities and real-time machine data is one key requirement of smart manufacturing systems. Latency, privacy and security issues of cloud computing for Industrial artificial intelligence (AI) led to the edge computing paradigm, where computation is performed close to the data source. As on-premise edge deployments req...

Traditionally PLC and SCADA systems programmed by automation engineers have been responsible for the control of industrial machines and processes. Industry 4.0 paradigm has merged OT and IT domains, proposing new alternatives for this task. Industry 4.0 approaches start capturing OT industrial data and making it available to the IT domain. Then, th...

Nowadays, new challenges around increasing production quality and productivity, and decreasing energy consumption, are growing in the manufacturing industry. In order to tackle these challenges, it is of vital importance to monitor the health of critical components. In the machine tool sector, one of the main aspects is to monitor the wear of the c...

Although Differential Pressure Decay Testing (DPDT) is less influenced by external environment than pressure decay testing, the different temperatures involved in the process still affect the leak measurements, particularly in quick changing conditions. This paper investigates the impact of air, injected air and part temperature on leak measurement...

In the last few years, the industry requires to know in real-time the condition of their assets. Acoustic Emission (AE) technique has been widely used to understand the real-time condition of manufacturing processes such as the degree of tool wear or tool breakage. Traditionally, to fulfil that goal, the information extracted from the signal sensor...

There is an increasing trend in the industry of knowing in real-time the condition of their assets. In particular, tool wear is a critical aspect, which requires real-time monitoring to reduce costs and scrap in machining processes. Traditionally, for the purpose of predicting tool wear conditions in machining, mathematical models have been develop...

Leak detection is a common and relevant step of manufacturing processes, which takes place throughout the production line. While several leak test methods have been proposed, pressure decay testing is still widespread due to its lower cost, simplicity and sensitivity in relatively small volumes. However, pressure decay testing is very sensitive to...

Condition monitoring of wind turbine gearboxes has mainly relied upon vibration, oil analysis and temperature monitoring. However, these techniques are not well suited for detecting early stage damage. Acoustic emission is gaining ground as a complementary condition monitoring technique as it offers earlier fault detection capability compared with...

Tidal stream power is a very environmentally attractive renewable energy providing many advantages over other types of renewable energies, mainly in predictability and efficiency. However, the exploitation is mainly being retarded by operation and maintenance problems. To reduce the maintenance costs of tidal stream gen-erators it is essential to e...

A surface flaw found in weld can potentially posed a safety concern to industrial applications which could results to fatal incident. To increase the integrity of these structures, a new surface flaw identification technique on enhancing the flaw characterization is studied for weld inspection. The proposed technique employs the integration of a la...

Rotating machinery is a critical asset of industrial plants worldwide. Bearings and gearboxes are two of the most common components found in rotating machinery of industrial plants. The malfunction of bearings and gearboxes lead the machine to fail and often these failures occur catastrophically leading to personnel injuries. Therefore it is of hig...

A promising replacement of fuel for vehicles is hydrogen because of its abundance, efficiency and absence of CO2 emissions. However, one of the main drawbacks of hydrogen powered cars is the dangerous reaction that this gas produces with air that could lead to an explosion. In order to greatly improve public confidence in the safety of hydrogen fue...

Shaft angular misalignment (SAM) is a common and crucial problem in rotating machinery. Misalignment can produce several shortcomings such as premature bearing failure, increase in energy consumption, excessive seal lubricant leakage and coupling failure. Vibration analysis has been traditionally used to detect SAM; however, it presents some drawba...

Existing wind turbine condition monitoring methodologies can be time-consuming and costly processes that fail to achieve the reliability and operational efficiency required by the industry. Present studies on monitoring data for wind turbines is restricted to a few case histories and for certain sensors is yet scarcer. In order to overcome this iss...

The gearbox of a wind turbine experiences complex loading patterns due to the high variability of the wind and other transient events, resulting in high wear and tear leading to costly failure. In the past, condition monitoring (CM) has relied upon vibration, oil analysis and temperature monitoring. These techniques have been extensively used with...

he use of Acoustic Emission (AE) technique applied in rotating machinery defect detection is still in its infancy. It is usually described as a complementary technique that can be used alongside others, such as vibration or oil analysis. Numerous investigations have been carried out to detect defects such as pitting, spalling and wear in bearings a...