Balbir S. Dhillon

What is he best known for?

The fields of study he is best known for:

• Reliability engineering
• Electrical engineering
• Statistics

His primary areas of study are Reliability engineering, Reliability, Human reliability, Fault tree analysis and Artificial intelligence. His work on Maintainability as part of general Reliability engineering research is frequently linked to Cost estimation models, thereby connecting diverse disciplines of science. Balbir S. Dhillon is studying Common cause failure, which is a component of Reliability.

His study in Human reliability is interdisciplinary in nature, drawing from both Aircraft maintenance, Automotive engineering and Mathematical model. His Fault tree analysis research is multidisciplinary, relying on both Hazard, Systems analysis and Operability, Hazard and operability study. The concepts of his Artificial intelligence study are interwoven with issues in Fault and Energy.

His most cited work include:

• Early fault diagnosis of rotating machinery based on wavelet packets—Empirical mode decomposition feature extraction and neural network (306 citations)
• Engineering reliability : new techniques and applications (233 citations)
• Engineering Maintenance: A Modern Approach (173 citations)

What are the main themes of his work throughout his whole career to date?

Balbir S. Dhillon mainly focuses on Reliability engineering, Reliability, Mean time between failures, Common cause failure and Laplace transform. He works mostly in the field of Reliability engineering, limiting it down to topics relating to Markov model and, in certain cases, Simulation. His Reliability study combines topics from a wide range of disciplines, such as Bibliography, Robot, Mathematical model, Algorithm and Operations research.

His Mean time to first failure study, which is part of a larger body of work in Mean time between failures, is frequently linked to Variance, bridging the gap between disciplines. Common cause failure connects with themes related to Special case in his study. While working on this project, Balbir S. Dhillon studies both Laplace transform and Steady state probability.

He most often published in these fields:

• Reliability engineering (55.21%)
• Reliability (46.32%)
• Mean time between failures (15.95%)

What were the highlights of his more recent work (between 2011-2021)?

• Reliability engineering (55.21%)
• Reliability (46.32%)
• Systems engineering (4.29%)

In recent papers he was focusing on the following fields of study:

His main research concerns Reliability engineering, Reliability, Systems engineering, Robot and Control engineering. Balbir S. Dhillon works on Reliability engineering which deals in particular with Fault tree analysis. His Reliability study frequently intersects with other fields, such as Mathematical model.

His Systems engineering study also includes fields such as

• Safety engineering that connect with fields like Predictive maintenance, Activity-based costing, Robotics and Variety,
• Key and related Sea waves and Submarine. His work carried out in the field of Robot brings together such families of science as Software engineering, Simulation and Control theory. His research integrates issues of Control and Fuzzy logic in his study of Control engineering.

Between 2011 and 2021, his most popular works were:

• Early fault diagnosis of rotating machinery based on wavelet packets—Empirical mode decomposition feature extraction and neural network (306 citations)
• Reliability Analysis Method on Repairable System with Standby Structure Based on Goal Oriented Methodology (23 citations)
• Reliability prediction for the vehicles equipped with advanced driver assistance systems (ADAS) and passive safety systems (PSS) (21 citations)

In his most recent research, the most cited papers focused on:

• Reliability engineering
• Electrical engineering
• Statistics

His primary scientific interests are in Reliability engineering, Reliability, Goal orientation, Fault tree analysis and Operator. His primary area of study in Reliability engineering is in the field of System safety. His biological study spans a wide range of topics, including Mathematical model, Risk analysis, Simulation and Systems engineering.

His Systems engineering research focuses on Safety engineering and how it connects with Artificial intelligence. His studies deal with areas such as Computer security and Pedestrian, Pedestrian crossing as well as Fault tree analysis. His research in Markov process intersects with topics in Function and Algorithm.