冷中子源（CNS）系统封闭热虹吸回路满足某些确切的条件时，在热负荷波动条件下会表现出自调节的特性。
A cold neutron source (CNS) possessing a closed-thermal siphon loop under some given conditions shows self-regulating characteristics when the heat load fluctuates.
它的分解基是随动态信号波形的变化而变化 ，具有自调节自适应的特征 ，因此能在时频域内描述非平稳非线性信号的局部特性。
Since the decomposition bases can vary with the local features of dynamic signals, the method is adaptive , therefore, highly efficient for describing nonlinear and non?stationary signals.
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