In view of the influence of uncertainty and fuzziness of product quality in actual disassembly process, especially the common fault of product, on the selection of disassembly sequence, an objective selective disassembly sequence planning approach with fault features of product was proposed. A disassembly hybrid-graph model was constructed to express the constraints of a product and the product fault matrix was constructed by extracting product fault features. The relational degree matrix between the component fault features and the element of disassembly model was derived by the method of expert advices. The influence of the component fault features on the element of disassembly model was determined by the fuzzy trigonometric function to update the disassembly hybrid-graph model, and the disassembly model elements and disassembly information were modified based on the influence and thresholds to generate the fault disassembly hybrid-graph model. Finally, an optimal or suboptimal disassembly sequence scheme is generated by combining a disassembly sequence optimization algorithm. A case study of turbine reducer demonstrated that the proposed method was more practical in the actual disassembly process and could solve the fuzzy effect of product faults on the disassembly process, the feasibility of disassembly sequence scheme as well as the disassembly efficiency were greatly improved, and the blindness of disassembly was reduced effectively, which proved that the proposed method is more effective for solving disassembly sequence planning problem.