Fault Diagnosis of System-Level Equipment with a Deep Learning Framework

Representational Learning for Fault Diagnosis of Wind Turbine Equipment: A Multi-Layered Extreme Learning Machines Approach

Reliable and quick response fault diagnosis is crucial for the wind turbine generator system (WTGS) to avoid unplanned interruption and to reduce the maintenance cost. However, the conditional data generated from WTGS operating in a tough environment is always dynamical and high-dimensional. To address these challenges, we propose a new fault diagnosis scheme which is composed of multiple extre...

A Deep Learning Approach for Condition-based Monitoring and Fault Diagnosis of Rod Pump System

Petrochemical industry is one of the key industry areas where Internet of Things (IoTs) and big data analytics could be widely applied to support smarter production and maintenance. In oil and gas exploitation, sucker-rod pumping systems are used in approximately 90 percent of artificially lifted wells. An automatic pipeline is crucial for real-time condition monitoring and fault detection of t...

System-Level Fault Diagnosis with Dynamic Mesh Optimization

The efficient identification of hardware and software faults in parallel and distributed systems still remains a challenge in today's most prolific decentralized environments. System-level fault diagnosis is concerned with the detection of all faulty nodes in a set of hundreds (or even thousands) of interconnected units. This is accomplished by thoroughly examining the collection of outcomes of...

Melanoma detection with a deep learning model

Background: Skin cancer is one of the most common forms of cancer in the world and melanoma is the deadliest type of skin cancer. Both melanoma and melanocytic nevi begin in melanocytes (cells that produce melanin). However, melanocytic nevi are benign whereas melanoma is malignant. This work proposes a deep learning model for classification of these two lesions.    Methods: In this analytic s...

A model-based reasoning architecture for system-level fault diagnosis