Patent Number: 
Section: claims

1. A diagnostic device for a communication network including network equipments coupled to a management system, said device including:diagnostic means adapted to determine the cause of problems occurring in said network by means of one or more diagnostic models and processing means adapted to adapt said diagnostic model as a function of data provided by said management system that is representative of the modification of said network equipment; andsaid processing means including analysis means adapted to analyze the data, which is received from said management system, to determine actions to be undertaken to adapt said diagnostic model taking account of the network equipment modification or modifications that they represent and to generate instructions representative of said actions and adaptation means adapted to adapt a diagnostic model as a function of an instruction or instructions received from said analysis means includes adding at least one new node to the communication network. 2. The device claimed in claim 1 wherein said processing means include a first memory coupled to said analysis means and adapted to store one or more reference diagnostic models and said analysis means are adapted to determine each adaptation action to be undertaken by comparing data received to one or more reference diagnostic models stored in said first memory. 3. The device claimed in claim 2, wherein said analysis means are adapted to determine adaptation actions selected from a group including an action representative of a new model to be constructed, an action representative of a modification to be made to an existing diagnostic model, and an action representative of reconfiguration of an existing diagnostic model. 4. The device claimed in claim 3 further comprising a second memory coupled to said processing means and to said diagnostic means and adapted to store each diagnostic model transmitted by said processing means and wherein said adaptation means are adapted, on receiving an instruction requiring the generation of a new diagnostic model because of specific network equipment modifications, to extract from said first memory a reference diagnostic model adapted to the composition of said network taking account of said specific modifications, in order to generate a new diagnostic model and then to store it in said second memory. 5. The device claimed in claim 3 further comprising a second memory coupled to said processing means and to said diagnostic means and adapted to store each diagnostic model transmitted by said processing means and wherein said adaptation means are adapted, on receiving an instruction requiring the modification of an existing diagnostic model stored in said second memory because of specific network equipment modifications, to extract said existing diagnostic model from said second memory in order to modify it as a function of said specific modifications and then to store it when modified in said second memory. 6. The device claimed in claim 3 further comprising a second memory coupled to said processing means and to said diagnostic means and adapted to store each diagnostic model transmitted by said processing means and wherein said adaptation means are adapted, on receiving an instruction requiring the reconfiguration of an existing diagnostic model stored in said second memory because of specific network equipment modifications, to extract said existing diagnostic model from said second memory in order to reconfigure it as a function of said specific modifications and then to store it when reconfigured in said second memory. 7. The device claimed in claim 2 wherein at least some of said reference diagnostic models take the form of one or more Bayesian networks. 8. The device claimed in claim 1 further comprising a memory coupled to said processing means and to said diagnostic means and adapted to store each diagnostic model transmitted by said processing means. 9. The device claimed in claim 8 wherein said diagnostic means are adapted, on receiving a request for a selected diagnosis, to extract said selected diagnosis from said memory and then to execute the extracted diagnostic model in order to deliver a diagnosis at an output. 10. The device claimed in claim 1 wherein said data is transmitted by said management system in the form of notifications. 11. The device claimed in claim 1 wherein at least some of said diagnostic models take the form of one or more Bayesian networks. 12. A management system comprising a managed communication network and one or more diagnostic devices as claimed in claim 1. 13. The management system claimed in claim 12, constituting a network management system. 14. The management system claimed in claim 12, constituting a service management system. 15. The management system of claim 1, wherein said adaptation means adds at least one of (a) a new node and (b) a new Bayesian network structure. 16. A method of determining the cause of problems in a communication network including network equipment coupled to a management system having a computer readable medium configured to store instructions corresponding to steps of the method, said method including:determining the cause of problems occurring in said network by means of one or more diagnostic models; andadapting said diagnostic model as a function of data provided by said management system that is representative of the modification of said network equipment,wherein said adapting includes analyzing the data, which is received from said management system, to determine actions to be undertaken to adapt said one or more diagnostic models, taking account of the network equipment modification or modifications that they represent, and to generate instructions representative of said actions, andadapting a diagnostic model as a function of an instruction or instructions generated by the analyzing includes adding at least one new node to the communication network. 17. The method of claim 16, further comprising a memory coupled to said processing means and to said diagnostic means, and adapted to store each diagnostic model transmitted during said adapting. 18. The method claimed in claim 16 wherein said data is transmitted by said management system in the form of notifications. 19. The method of claim 16, wherein said adaptation comprises adding at least one of (a) a new node and (b) a new Bayesian network structure.