This article presents a perspective on model-based prognosis for hybrid systems through the lens of patent analysis. The document begins by summarizing four scholarly articles that provide a comprehensive overview of fault diagnostics and prognostics (FDP). These articles highlight the increasing complexity of engineered systems and the need for advanced FDP techniques to ensure reliability and safety. Then transitions to discussing the role of patents in driving innovation and knowledge sharing, acknowledging the challenges associated with patent systems. The document proceeds to analyze several patents, categorizing them into five technical features: fault model generation, fault simulation and testing, fault diagnosis, fault prognosis, and system-level integration and optimization. Specific patents are discussed in detail, showcasing innovative approaches to FDP in various domains, including machine anomaly detection, vehicle diagnostics, analog circuit fault injection, industrial process monitoring, and algorithm optimization. The document concludes by emphasizing the importance of patents in advancing FDP technologies and encouraging further research in this crucial field.