Unexpected shutdowns of screw compressors can disrupt production and cause long-term damage to equipment. Motor overload, high-temperature alarms, and abnormal oil consumption are among the most frequent issues. This article analyzes these three common failures and provides data-driven optimization strategies to enhance operational efficiency and reduce maintenance costs.
Motor overload is one of the most prevalent screw compressor failures, characterized by current exceeding rated values, which may lead to motor burnout. The root cause lies in excessive resistance beyond the motor's design capacity. Below are the primary factors and corresponding solutions:
Causes: Severe clogging of air filters, oil filters, or oil-gas separators increases resistance in the intake and oil circuits, forcing the motor to work harder. Contaminants typically include dust, impurities, or degraded oil byproducts.
Data Analysis: Monitoring pressure differentials across filters helps assess blockage levels. Exceeding threshold values indicates the need for replacement or cleaning. Composition analysis of collected contaminants can further optimize filter selection and maintenance schedules.
Solutions:
Causes: A faulty valve seal may fail to maintain minimum system pressure during startup, forcing the motor to overcome higher resistance.
Data Analysis: Pressure curve monitoring during startup reveals abnormal spikes, indicating potential valve leakage or sticking.
Solutions:
Causes: Faulty unloading valves may not release system pressure post-shutdown, while stuck intake valves can force the motor to start under load.
Data Analysis: Abnormal current spikes and rapid pressure rises during startup suggest valve issues.
Solutions:
Elevated temperatures degrade lubrication, accelerate wear, and may trigger shutdowns. Key causes and countermeasures include:
Causes: Restricted oil flow due to clogged filters reduces cooling efficiency.
Data Analysis: Monitor pressure differentials and conduct periodic oil contamination tests.
Prevention:
Causes: Malfunctioning valves disrupt coolant flow regulation, leading to inadequate cooling.
Data Analysis: Temperature discrepancies across the valve indicate operational faults.
Prevention:
Causes: Accumulated dust, oil, or scale reduces heat dissipation.
Data Analysis: Declining temperature differentials signal contamination.
Prevention:
High oil usage raises operational costs and risks lubrication failures. Primary causes include:
Causes: Obstructed return lines prevent oil from cycling back to the compressor.
Data Analysis: Low return-line temperatures or visual inspections reveal blockages.
Control Methods:
Causes: Damaged separators allow excessive oil to escape with compressed air.
Data Analysis: Oil content measurements in discharged air exceed thresholds.
Control Methods:
Causes: Sustained low pressure reduces separator effectiveness, increasing oil carryover.
Data Analysis: Continuous suboptimal discharge pressure readings indicate issues.
Control Methods:
Implementing these data-driven maintenance strategies enables enterprises to optimize screw compressor performance, lower upkeep expenses, and prolong equipment service life.
Unexpected shutdowns of screw compressors can disrupt production and cause long-term damage to equipment. Motor overload, high-temperature alarms, and abnormal oil consumption are among the most frequent issues. This article analyzes these three common failures and provides data-driven optimization strategies to enhance operational efficiency and reduce maintenance costs.
Motor overload is one of the most prevalent screw compressor failures, characterized by current exceeding rated values, which may lead to motor burnout. The root cause lies in excessive resistance beyond the motor's design capacity. Below are the primary factors and corresponding solutions:
Causes: Severe clogging of air filters, oil filters, or oil-gas separators increases resistance in the intake and oil circuits, forcing the motor to work harder. Contaminants typically include dust, impurities, or degraded oil byproducts.
Data Analysis: Monitoring pressure differentials across filters helps assess blockage levels. Exceeding threshold values indicates the need for replacement or cleaning. Composition analysis of collected contaminants can further optimize filter selection and maintenance schedules.
Solutions:
Causes: A faulty valve seal may fail to maintain minimum system pressure during startup, forcing the motor to overcome higher resistance.
Data Analysis: Pressure curve monitoring during startup reveals abnormal spikes, indicating potential valve leakage or sticking.
Solutions:
Causes: Faulty unloading valves may not release system pressure post-shutdown, while stuck intake valves can force the motor to start under load.
Data Analysis: Abnormal current spikes and rapid pressure rises during startup suggest valve issues.
Solutions:
Elevated temperatures degrade lubrication, accelerate wear, and may trigger shutdowns. Key causes and countermeasures include:
Causes: Restricted oil flow due to clogged filters reduces cooling efficiency.
Data Analysis: Monitor pressure differentials and conduct periodic oil contamination tests.
Prevention:
Causes: Malfunctioning valves disrupt coolant flow regulation, leading to inadequate cooling.
Data Analysis: Temperature discrepancies across the valve indicate operational faults.
Prevention:
Causes: Accumulated dust, oil, or scale reduces heat dissipation.
Data Analysis: Declining temperature differentials signal contamination.
Prevention:
High oil usage raises operational costs and risks lubrication failures. Primary causes include:
Causes: Obstructed return lines prevent oil from cycling back to the compressor.
Data Analysis: Low return-line temperatures or visual inspections reveal blockages.
Control Methods:
Causes: Damaged separators allow excessive oil to escape with compressed air.
Data Analysis: Oil content measurements in discharged air exceed thresholds.
Control Methods:
Causes: Sustained low pressure reduces separator effectiveness, increasing oil carryover.
Data Analysis: Continuous suboptimal discharge pressure readings indicate issues.
Control Methods:
Implementing these data-driven maintenance strategies enables enterprises to optimize screw compressor performance, lower upkeep expenses, and prolong equipment service life.