Satellites are known as a remotely operated systems with high degree of complexity due to
large number of interconnected devices onboard the satellite. Consequently, it has …

This paper presents a novel autonomous method for condition monitoring of rotating
machines during operation based on radio frequency (RF) pulse transmission using energy …

The complexity of industrial processes imposes a lot of challenges in building accurate and
representative causal models for abnormal events diagnosis, control and maintenance of …

Induction machines (IMs) are utilized in different industrial sectors such as manufacturing,
transportation, transmission, and energy due to their ruggedness, low cost, and high …

This paper presents a probabilistic model based approach for machinery condition
prognosis based on particle filter by integrating physical knowledge with in-process …

In complex systems, the operating units often suffer from multiple failure modes, and each
failure mode results in distinct degradation path and service life. Thus, it is critical to perform …

Abstract Logical Analysis of Data (LAD) is a data analysis methodology introduced by Peter
L. Hammer in 1986. LAD distinguishes itself from other classification and machine learning …

This paper proposes a novel data preprocessing method that converts numeric data into
representative graphs (polygons) expressing all of the relationships between data variables …

Hydrological working conditions are critical indicators for the maintenance of tractor
mechanical systems. This research presents a pseudospectrum approach to analyze the …

Fueled by increasing data availability and the rise of technological advances for data
processing and communication, business analytics is a key driver for smart manufacturing …