Analysis of the causes of damage to the energy storage motor

What causes EMD motor failure?

Common types of failures that occurred in EMD systems Fatigue. Stress. The majority of all motor failures are caused by a combination of various stresses acting on the winding, rotor, bearings and shaft. If these stresses remain within the design capabilities of the system, then premature failure should not occur.

Which failure modes dominate the life of electric motors?

The historical information and failure rate models that were collected for the electric motors are investigated and used to model the prediction model of the EMD system. Three competing failure modes were found to dominate motor life: bearing failures, winding failures and shaft failures.

What is the relationship between energy storage and energy crisis?

The relationship between energy storage and energy crisis is analyzed by a mathematical model. The natural gas price and strategic energy storage are analyzed by an economy model. The necessities and advantages of strategic energy storage in China are analyzed. The measures for improving China's strategic energy storage are proposed.

What happens if an electric motor driven system fails?

Electric motor driven (EMD) systems account for more than 60% of the overall electrical energy consumption of any industrial nation. Moreover, an EMD system is considered to be the heart of any industry and the main operational system in hydrocarbon plants. Therefore, any operational failure in the EMD system will cause considerable economic loss.

What causes a motor to fail?

Bearing failures represented ∼80% of the total failures of these types of motors. Winding failures were more prominent in the early life of the motor and were attributed to shorts and grounds resulting from the quality of assembly rather than long-term insulation degradation.

How many failures of electric motor systems are there?

To accomplish the study's objectives, an existing failure databank of over 100 failures of EMD systems was collected and surveyed from the field. The historical information and failure rate models that were collected for the electric motors are investigated and used to model the prediction model of the EMD system.