很少项目能达到所有的成本、进度、质量和需求的目标，在这种意义上，大多数软件被认为至少是局部故障的。
Most software projects can be considered at least partial failures, in the sense that few projects meet all their cost, schedule, quality, and requirements objectives.
声发射探测技术是监测由局部放电引起的液—固复合绝缘电力设备的突发性故障的有效方法。
Acoustic emission detection technology is an effective way to monitor sudden failure caused by partial discharge (PD) in liquid-solid composite insulation of electrical equipment.
传统的神经网络算法应用于故障诊断时，具有易陷入局部极小值，收敛速度较慢等缺点。
Traditional neural network algorithms are easy to fall into the local minimum, slow convergence when in fault diagnosis.
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