Prognostic Health Management (PHM)


Prognostic Health Management is a framework that integrates data acquisition, data management, data analysis, diagnosis, prognosis, and decision making to provide health information and guidance for the aircraft system. PHM enhances the safety, performance, efficiency, and availability of the aircraft


Some of the main aspects of prognostic health management are:


Data Acquisition

Data is collected and transmitted from various sensors installed on the aircraft and its components. The data includes parameters such as temperature, pressure, vibration, strain, etc. The data is transmitted wirelessly or through cables to a central unit for processing and storage.


Data Management

Data collected from the sensors is rganized, stored, sorted before being accessed. The data is stored in databases, cloud servers, or onboard memory devices. The data then can be accessed by authorized users or systems for analysis and diagnosis.


Data Analysis

Various methods and algorithms are applied to the data to extract useful information and insights. Data analysis includes techniques such as signal processing, feature extraction, fault detection, fault isolation, fault identification, fault diagnosis, fault prognosis, and failure prediction.


Decision Making

Information and insights obtained from data analysis is used to make informed decisions and actions. Decision making includes tasks such as alerting the crew or ground staff of any issues, recommending corrective or preventive actions, scheduling maintenance or repairs, optimizing operational parameters.