An anti-jamming artificial immune approach for energy leakage diagnosis in parallel-machine job shops

•An anti-jamming artificial immune approach for energy leakage diagnosis in parallel-machine job shops is proposed.•A danger-model-inspired framework realizes the collaboration between danger (energy loss) detection at shop level and antigen (process behaviour) isolation at machine level.•The difference in process behaviour fluctuation acquires characteristics sensitive to energy leakage.•An anti-jamming aiNet algorithm achieved clustering of leaking feature samples with jamming antigens correctly.•The proposed approach significantly suppressed false diagnoses caused by jamming environment.