I. INTRODUCTION

II. INTELLIGENT INDUSTRIAL FAULT DIAGNOSIS

III. KEY COMPONENTS OF SPIKING NEURAL NETWORKS

IV. SNN-BASED DEEP MODEL FOR INTELLIGENT IFD

V. CHALLENGES, SOLUTIONS AND OPPORTUNITIES

VI. CONCLUSIONS