Method for monitoring health status of a chassis system of a vehicle, the chassis system comprising a plurality of subsystems of the chassis system of the vehicle, the vehicle comprising a new electronic control unit (NECU), a set of sensors, and a communication bus configured to convey signal data to the new electronic control unit (NECU), the new electronic control unit (NECU) being configured to run a vehicle chassis system simulation module based on a vehicle main physics-based model of the chassis system (VMPM) of the vehicle and based on a physics-based model of each subsystem (VSSPM1, VSSPM2,..., VSSPMi,..) of the chassis system of the vehicle, a first neural network module, a second neural network module, and a signal processing module, the method comprising the following steps implemented by the new electronic control unit (NECU): - collect signal data, the signal data comprising measured sensor data measured by at least one sensor of the set of sensors during a period of time; - process, by the signal processing module, the signal data, to produce processed signal data; - feed processed signal data as input to the first neural network module, trained for predicting a first neural network output (FNNO), the first neural network output (FNNO) comprising a first set of data-driven subsystem health statuses (SSHS1, SSHS2,...., SSHSi,...); - feed the signal data as input to the vehicle chassis system simulation module, the vehicle chassis system simulation module being configured to provide a vehicle chassis system simulation output (VSMO) based on a physics-based model of the vehicle chassis system and on the signal data, the vehicle chassis system simulation output (VSMO) comprising a second set of physics-based subsystem health statuses (PSSHS1, PSHS2,...., PSSHSi,...); - provide the first set of data-driven subsystem health statuses (SSHS1, SSHS2,...., SSHSi,...) and the second set of physics-based subsystem health statuses (PSSHS1, PSSHS2,...., PSSHSi,...) as input to the second neural network, the second neural network being configured to provide a second neural network output (SNNO), the second neural network output (SNNO) being a set of consolidated subsystem health statuses (CSSHS1, CSSHS2,...., CSSHSi,...); - depending on the set of consolidated subsystem health statuses (CSSHS1, CSSHS2,...., CSSHSi,...), produce a support recommendation to temporarily correct failures indicated by the set of consolidated subsystem health statuses (CSSHS1, CSSHS2,...., CSSHSi,...) and send the set of consolidated subsystem health statuses (CSSHS1, CSSHS2,...., CSSHSi,...) to a support center to plan future support actions to permanently correct said failures. - collect signal data, the signal data comprising measured sensor data measured by at least one sensor of the set of sensors during a period of time; - process, by the signal processing module, the signal data, to produce processed signal data; - feed processed signal data as input to the first neural network module, trained for predicting a first neural network output (FNNO), the first neural network output (FNNO) comprising a first set of data-driven subsystem health statuses (SSHS1, SSHS2,...., SSHSi,...); - feed the signal data as input to the vehicle chassis system simulation module, the vehicle chassis system simulation module being configured to provide a vehicle chassis system simulation output (VSMO) based on a physics-based model of the vehicle chassis system and on the signal data, the vehicle chassis system simulation output (VSMO) comprising a second set of physics-based subsystem health statuses (PSSHS1, PSHS2,...., PSSHSi,...); - provide the first set of data-driven subsystem health statuses (SSHS1, SSHS2,...., SSHSi,...) and the second set of physics-based subsystem health statuses (PSSHS1, PSSHS2,...., PSSHSi,...) as input to the second neural network, the second neural network being configured to provide a second neural network output (SNNO), the second neural network output (SNNO) being a set of consolidated subsystem health statuses (CSSHS1, CSSHS2,...., CSSHSi,...); - depending on the set of consolidated subsystem health statuses (CSSHS1, CSSHS2,...., CSSHSi,...), produce a support recommendation to temporarily correct failures indicated by the set of consolidated subsystem health statuses (CSSHS1, CSSHS2,...., CSSHSi,...) and send the set of consolidated subsystem health statuses (CSSHS1, CSSHS2,...., CSSHSi,...) to a support center to plan future support actions to permanently correct said failures.