This PhD project will focus on developing, evaluating, and demonstrating a fault diagnosis solution of electrical motor using magnetic flux sensors to enhance reliability, maintainability and readiness. A comprehensive test-bed for in-depth studies will be used for experiments for demonstration and evaluation. Induction motor is inherently reliable and requires minimum maintenance. However, many companies are still faced with unexpected system failure and reduced induction motor lifetime. This gives rise to the need for maintenance strategy based on condition monitoring, which can be addressed by monitoring and analysing the real-time signals of the induction motor. Different faults of induction motors are generally classified as either electrical or mechanical faults. Also, different types of condition monitoring using vibration and electrical signals have been implemented. However, these methods are still immature enough for accurate diagnosis. Therefore, the fault diagnosis problem of electrical motor is still as open area for research. Magnetic flux sensor is a potential solution for detection and diagnosis of electrical faults because it is very sensitive to electromagnetic field.